David Allman

17.8k total citations · 3 hit papers
112 papers, 11.0k citations indexed

About

David Allman is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, David Allman has authored 112 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Immunology, 21 papers in Molecular Biology and 15 papers in Hematology. Recurrent topics in David Allman's work include T-cell and B-cell Immunology (63 papers), Immune Cell Function and Interaction (62 papers) and Immunotherapy and Immune Responses (37 papers). David Allman is often cited by papers focused on T-cell and B-cell Immunology (63 papers), Immune Cell Function and Interaction (62 papers) and Immunotherapy and Immune Responses (37 papers). David Allman collaborates with scholars based in United States, United Kingdom and Switzerland. David Allman's co-authors include Juli P. Miller, Warren S. Pear, Michael P. Cancro, Jon C. Aster, Shiv Pillai, Richard R. Hardy, Lanwei Xu, S E Ferguson, Alexander L. Dent and Arthur L. Shaffer and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David Allman

110 papers receiving 10.9k citations

Hit Papers

Control of Inflammation, ... 1997 2026 2006 2016 1997 1999 2023 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Allman 6.7k 3.3k 2.4k 1.1k 769 112 11.0k
Ashley R. Dunn 4.9k 0.7× 3.6k 1.1× 2.0k 0.8× 1.1k 1.0× 514 0.7× 101 10.0k
Christoph Huber 5.0k 0.7× 3.3k 1.0× 3.5k 1.5× 791 0.7× 504 0.7× 155 8.6k
Otto Majdic 6.8k 1.0× 2.5k 0.7× 1.9k 0.8× 1.4k 1.3× 663 0.9× 192 10.5k
William C. Fanslow 9.6k 1.4× 2.3k 0.7× 2.3k 1.0× 701 0.6× 959 1.2× 108 13.1k
Richard A. Kroczek 9.2k 1.4× 2.1k 0.6× 2.2k 0.9× 1.1k 1.0× 463 0.6× 103 12.5k
Antal Rot 7.5k 1.1× 2.7k 0.8× 5.0k 2.1× 664 0.6× 475 0.6× 108 12.3k
Vassiliki A. Boussiotis 9.5k 1.4× 3.8k 1.1× 5.5k 2.3× 1.2k 1.1× 1.3k 1.7× 182 15.6k
John Wijdenes 5.0k 0.7× 2.2k 0.7× 3.0k 1.3× 1.8k 1.6× 495 0.6× 188 9.8k
Boris Reizis 9.5k 1.4× 3.1k 0.9× 1.5k 0.7× 793 0.7× 776 1.0× 131 12.6k
Kim L. Stocking 4.8k 0.7× 2.7k 0.8× 2.1k 0.9× 752 0.7× 1.1k 1.5× 18 9.6k

Countries citing papers authored by David Allman

Since Specialization
Citations

This map shows the geographic impact of David Allman'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 David Allman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Allman more than expected).

Fields of papers citing papers by David Allman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Allman. 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 David Allman. The network helps show where David Allman may publish in the future.

Co-authorship network of co-authors of David Allman

This figure shows the co-authorship network connecting the top 25 collaborators of David Allman. A scholar is included among the top collaborators of David Allman 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 David Allman. David Allman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hasanali, Zainul S., Alfred L. Garfall, Lisa Burzenski, et al.. (2024). Human IL-6 fosters long-term engraftment of patient-derived disease-driving myeloma cells in immunodeficient mice. JCI Insight. 9(10). 3 indexed citations
2.
Ishikawa, Masaki, Zainul S. Hasanali, Yongge Zhao, et al.. (2024). Bone marrow plasma cells require P2RX4 to sense extracellular ATP. Nature. 626(8001). 1102–1107. 20 indexed citations
3.
Arora, Gunjan, Thomas Hart, Emily Bettini, et al.. (2023). Development of an mRNA-lipid nanoparticle vaccine against Lyme disease. Molecular Therapy. 31(9). 2702–2714. 46 indexed citations breakdown →
4.
Green, Jamal, Jean‐Bernard Lubin, Derek A. Oldridge, et al.. (2023). IgA deficiency destabilizes homeostasis toward intestinal microbes and increases systemic immune dysregulation. Science Immunology. 8(83). eade2335–eade2335. 39 indexed citations
5.
Tang, Yan, Wei Liu, Omar Johnson, et al.. (2023). Exploiting the CD200-CD200R immune checkpoint axis in multiple myeloma to enhance CAR T-cell therapy. Blood. 143(2). 139–151. 9 indexed citations
6.
Malin, Justin, Gustavo Ulises Martinez‐Ruíz, Yongge Zhao, et al.. (2023). Expression of the transcription factor Klf6 by thymic epithelial cells is required for thymus development. Science Advances. 9(46). eadg8126–eadg8126. 3 indexed citations
7.
Lee, Kyoung Eun, Michelle Spata, Lauren J. Bayne, et al.. (2015). Hif1a Deletion Reveals Pro-Neoplastic Function of B Cells in Pancreatic Neoplasia. Cancer Discovery. 6(3). 256–269. 179 indexed citations
8.
Bortnick, Alexandra & David Allman. (2013). What Is and What Should Always Have Been: Long-Lived Plasma Cells Induced by T Cell–Independent Antigens. The Journal of Immunology. 190(12). 5913–5918. 59 indexed citations
9.
Bortnick, Alexandra, Irene Chernova, William J. Quinn, et al.. (2012). Long-Lived Bone Marrow Plasma Cells Are Induced Early in Response to T Cell-Independent or T Cell-Dependent Antigens. The Journal of Immunology. 188(11). 5389–5396. 90 indexed citations
10.
Juntilla, Marisa M., Matthew Thomas, Daniel Northrup, et al.. (2009). Akt1 and Akt2 promote peripheral B-cell maturation and survival. Blood. 115(20). 4043–4050. 72 indexed citations
11.
Srivastava, Bhaskar, et al.. (2006). Development and Selection of Edited B Cells in B6.56R Mice. The Journal of Immunology. 176(11). 6879–6887. 40 indexed citations
12.
Srivastava, Bhaskar, et al.. (2005). Characterization of marginal zone B cell precursors. The Journal of Experimental Medicine. 202(9). 1225–1234. 151 indexed citations
13.
Maillard, Ivan, Andrew P. Weng, Andrea C. Carpenter, et al.. (2004). Mastermind critically regulates Notch-mediated lymphoid cell fate decisions. Blood. 104(6). 1696–1702. 235 indexed citations
14.
Maus, Marcela V., Birgit Kovacs, William W. Kwok, et al.. (2004). Extensive Replicative Capacity of Human Central Memory T Cells. The Journal of Immunology. 172(11). 6675–6683. 33 indexed citations
15.
Chennathukuzhi, Vargheese M., Joel M. Stein, Ted Abel, et al.. (2003). Mice Deficient for Testis-Brain RNA-Binding Protein Exhibit a Coordinate Loss of TRAX, Reduced Fertility, Altered Gene Expression in the Brain, and Behavioral Changes. Molecular and Cellular Biology. 23(18). 6419–6434. 85 indexed citations
16.
Bhandoola, Avinash, et al.. (2003). Early T Lineage Progenitors: New Insights, but Old Questions Remain. The Journal of Immunology. 171(11). 5653–5658. 61 indexed citations
17.
Miller, Juli P. & David Allman. (2003). The Decline in B Lymphopoiesis in Aged Mice Reflects Loss of Very Early B-Lineage Precursors. The Journal of Immunology. 171(5). 2326–2330. 202 indexed citations
18.
Izon, David J., Jon C. Aster, Yiping He, et al.. (2002). Deltex1 Redirects Lymphoid Progenitors to the B Cell Lineage by Antagonizing Notch1. Immunity. 16(2). 231–243. 211 indexed citations
19.
Allman, David, et al.. (2001). Resolution of Three Nonproliferative Immature Splenic B Cell Subsets Reveals Multiple Selection Points During Peripheral B Cell Maturation. The Journal of Immunology. 167(12). 6834–6840. 447 indexed citations
20.
Izon, David J., William DeMuth, Warren S. Pear, et al.. (2001). A Common Pathway for Dendritic Cell and Early B Cell Development. The Journal of Immunology. 167(3). 1387–1392. 95 indexed citations

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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