D. Branch Moody

18.8k total citations · 1 hit paper
285 papers, 12.3k citations indexed

About

D. Branch Moody is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, D. Branch Moody has authored 285 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Immunology, 52 papers in Infectious Diseases and 44 papers in Epidemiology. Recurrent topics in D. Branch Moody's work include Immune Cell Function and Interaction (106 papers), T-cell and B-cell Immunology (79 papers) and Tuberculosis Research and Epidemiology (49 papers). D. Branch Moody is often cited by papers focused on Immune Cell Function and Interaction (106 papers), T-cell and B-cell Immunology (79 papers) and Tuberculosis Research and Epidemiology (49 papers). D. Branch Moody collaborates with scholars based in United States, Australia and Netherlands. D. Branch Moody's co-authors include William C. Stebbins, Tan‐Yun Cheng, Steven A. Porcelli, Ildiko Van Rhijn, Jamie Rossjohn, Gurdyal S. Besra, David C. Young, Dale I. Godfrey, Michael D. Beecher and Michael B. Brenner and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

D. Branch Moody

281 papers receiving 12.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The burgeoning family of unconventional T cells

2015 548 citations Dale I. Godfrey, James McCluskey et al. Nature Immunology profile →

Peers

Countries citing papers authored by D. Branch Moody

Since Specialization

Citations

This map shows the geographic impact of D. Branch Moody's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Branch Moody with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Branch Moody more than expected).

Fields of papers citing papers by D. Branch Moody

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Branch Moody. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Branch Moody. The network helps show where D. Branch Moody may publish in the future.

Co-authorship network of co-authors of D. Branch Moody

This figure shows the co-authorship network connecting the top 25 collaborators of D. Branch Moody. A scholar is included among the top collaborators of D. Branch Moody based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Branch Moody. D. Branch Moody is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field 2025 ·Journal of Experimental Botany ·Samir Alahmad, Daniel Smith, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Karine Chenu, Scott Chapman, Andries Potgieter, Anton Wasson, (unknown), Jayfred Godoy, D. Branch Moody, Hannah Robinson, Lee T. Hickey	1
2	Paired analysis of host and pathogen genomes identifies determinants of human tuberculosis 2024 ·Nature Communications ·Yang Luo, (unknown), Nicole C. Howard, Xin Wang, Qingyun Liu, Xinyi Li, Junhao Zhu, (unknown), Samira Asgari, Kazuyoshi Ishigaki, Róger Calderón, Sahadevan Raman, (unknown), Jacob A. Mayfield, D. Branch Moody, Leonid Lecca, Sarah M. Fortune, Megan Murray, Soumya Raychaudhuri	5
3	Lipidomic scanning of self-lipids identifies headless antigens for natural killer T cells 2024 ·Proceedings of the National Academy of Sciences ·Tan‐Yun Cheng, T. Praveena, Srinath Govindarajan, Catarina F. Almeida, Daniel G. Pellicci, (unknown), Ildiko Van Rhijn, Koen Venken, Dirk Elewaut, Dale I. Godfrey, Jamie Rossjohn, D. Branch Moody	7
4	Mini review: Targeting below-ground plant performance to improve nitrogen use efficiency (NUE) in barley 2023 ·Frontiers in Genetics ·Claire Y.‐H. Huang, Clayton R. Butterly, D. Branch Moody, Mohammad Pourkheirandish	4
5	Bacterial Strain–Dependent Dissociation of Cell Recruitment and Cell-to-Cell Spread in Early M. tuberculosis Infection 2022 ·mBio ·Beth Shoshana Zha, Ludovic Desvignes, (unknown), Amber Cornelius, Tan‐Yun Cheng, D. Branch Moody, J. Ernst	10
6	Atypical sideways recognition of CD1a by autoreactive γδ T cell receptors 2022 ·Nature Communications ·Marcin Wegrecki, (unknown), Sachith D. Gunasinghe, Anouk von Borstel, (unknown), Josephine F. Reijneveld, (unknown), Benjamin S. Gully, Jérôme Le Nours, D. Branch Moody, Ildiko Van Rhijn, Jamie Rossjohn	27
7	A periplasmic cinched protein is required for siderophore secretion and virulence of Mycobacterium tuberculosis 2022 ·Nature Communications ·Lei Zhang, (unknown), (unknown), David C. Young, (unknown), Alexander E. Aleshin, Ying‐Hui Ko, Gino Cingolani, Jamil S. Saad, D. Branch Moody, Francesca M. Marassi, Sabine Ehrt, Michael Niederweis	19
8	Dual TCR-α Expression on Mucosal-Associated Invariant T Cells as a Potential Confounder of TCR Interpretation 2022 ·The Journal of Immunology ·Sara Suliman, Lars Kjer‐Nielsen, (unknown), (unknown), Liyen Loh, Ludivine Grzelak, Katherine Kedzierska, (unknown), Alexandra J. Corbett, James McCluskey, Jamie Rossjohn, Segundo R. León, Róger Calderón, Leonid Lecca, Megan Murray, D. Branch Moody, Ildiko Van Rhijn	6
9	Multimodally profiling memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment and disease 2021 ·Nature Immunology ·Aparna Nathan, Jessica I. Beynor, Yuriy Baglaenko, Sara Suliman, Kazuyoshi Ishigaki, Samira Asgari, Chuan-Chin Huang, Yang Luo, Zibiao Zhang, (unknown), Cecilia S. Lindestam Arlehamn, J. Ernst, Judith Jiménez, Róger Calderón, Leonid Lecca, Ildiko Van Rhijn, D. Branch Moody, Megan Murray, Soumya Raychaudhuri	56
10	Heterologous Production of 1-Tuberculosinyladenosine in Mycobacterium kansasii Models Pathoevolution towards the Transcellular Lifestyle of Mycobacterium tuberculosis 2020 ·mBio ·(unknown), (unknown), Joyce Wang, Fiona McIntosh, Daniel Houle, Pilar Domenech, Michael B. Reed, Sahadevan Raman, Jeffrey Buter, Adriaan J. Minnaard, D. Branch Moody, Marcel A. Behr	12
11	Human γδ T cells recognize CD1b by two distinct mechanisms 2020 ·Proceedings of the National Academy of Sciences ·Josephine F. Reijneveld, (unknown), Adam Shahine, Benjamin S. Gully, Pierre Vantourout, Adrian Hayday, Jamie Rossjohn, D. Branch Moody, Ildiko Van Rhijn	41
12	A TCR β-Chain Motif Biases toward Recognition of Human CD1 Proteins 2019 ·The Journal of Immunology ·Peter Reinink, Adam Shahine, Stéphanie Gras, Tan‐Yun Cheng, (unknown), (unknown), Sara Suliman, Josephine F. Reijneveld, Jérôme Le Nours, Li Lynn Tan, Segundo R. León, Judith Jiménez, Róger Calderón, Leonid Lecca, Megan Murray, Jamie Rossjohn, D. Branch Moody, Ildiko Van Rhijn	11
13	A molecular basis of human T cell receptor autoreactivity toward self-phospholipids 2017 ·Science Immunology ·Adam Shahine, Ildiko Van Rhijn, Tan‐Yun Cheng, (unknown), Stéphanie Gras, D. Branch Moody, Jamie Rossjohn	38
14	An Antibacterial β‐Lactone Kills Mycobacterium tuberculosis by Disrupting Mycolic Acid Biosynthesis 2017 ·Angewandte Chemie International Edition ·Johannes Lehmann, Tan‐Yun Cheng, Anup Aggarwal, (unknown), (unknown), Ravikiran M. Raju, Tatos Akopian, Olga Kandror, James C. Sacchettini, D. Branch Moody, Eric J. Rubin, Stephan A. Sieber	51
15	Ein antibakterielles β‐Lacton bekämpft Mycobacterium tuberculosis durch Infiltration der Mykolsäurebiosynthese 2017 ·Angewandte Chemie ·Johannes Lehmann, Tan‐Yun Cheng, Anup Aggarwal, (unknown), (unknown), Ravikiran M. Raju, Tatos Akopian, Olga Kandror, James C. Sacchettini, D. Branch Moody, Eric J. Rubin, Stephan A. Sieber	3
16	Bee venom processes human skin lipids for presentation by CD1a 2015 ·The Journal of Experimental Medicine ·Elvire Anne Bourgeois, Sumithra Subramaniam, Tan‐Yun Cheng, Annemieke de Jong, Emilie Layre, Dalam Ly, Maryam Salimi, Annaliza J. Legaspi, Robert L. Modlin, Mariolina Salio, Vincenzo Cerundolo, D. Branch Moody, Graham S. Ogg	81
17	CD1b tetramers bind αβ T cell receptors to identify a mycobacterial glycolipid-reactive T cell repertoire in humans 2011 ·The Journal of Experimental Medicine ·Anne Kasmar, Ildiko Van Rhijn, Tan‐Yun Cheng, (unknown), Chetan Seshadri, A. Schiefner, Ravi Kalathur, John W. Annand, Annemieke de Jong, John Shires, Luis León, Michael B. Brenner, Ian A. Wilson, John D. Altman, D. Branch Moody	101
18	CD1-restricted adaptive immune responses to Mycobacteria in human group 1 CD1 transgenic mice 2009 ·The Journal of Experimental Medicine ·Kyrie Felio, Hanh Nguyen, Christopher C. Dascher, Hak‐Jong Choi, Sha Li, Michael I. Zimmer, Angela Colmone, D. Branch Moody, Michael B. Brenner, Chyung‐Ru Wang	84
19	CD1d-restricted T cell activation by nonlipidic small molecules 2004 ·Proceedings of the National Academy of Sciences ·Ildiko Van Rhijn, David C. Young, Jin S. Im, Steven B. Levery, Petr A. Illarionov, Gurdyal S. Besra, Steven A. Porcelli, Jenny E. Gumperz, Tan‐Yun Cheng, D. Branch Moody	86
20	T Cell Activation by Lipopeptide Antigens 2004 ·Science ·D. Branch Moody, David C. Young, Tan‐Yun Cheng, Jean‐Pierre Rosat, Carme Roura‐Mir, Peter B. O’Connor, Dirk M. Zajonc, Andrew J. Walz, Marvin J. Miller, Steven B. Levery, Ian A. Wilson, Catherine E. Costello, Michael B. Brenner	211

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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