Harlan Robins

25.1k total citations · 2 hit papers
128 papers, 10.5k citations indexed

About

Harlan Robins is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Harlan Robins has authored 128 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Immunology, 60 papers in Oncology and 25 papers in Molecular Biology. Recurrent topics in Harlan Robins's work include T-cell and B-cell Immunology (46 papers), CAR-T cell therapy research (40 papers) and Immune Cell Function and Interaction (39 papers). Harlan Robins is often cited by papers focused on T-cell and B-cell Immunology (46 papers), CAR-T cell therapy research (40 papers) and Immune Cell Function and Interaction (39 papers). Harlan Robins collaborates with scholars based in United States, South Africa and Germany. Harlan Robins's co-authors include Arnold J. Levine, Ryan Emerson, Christopher S. Carlson, Cindy Desmarais, Marissa Vignali, Edus H. Warren, Anna Sherwood, Stanley R. Riddell, Cameron J. Turtle and Paulo Vidal Campregher and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Harlan Robins

126 papers receiving 10.4k 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.

A Single Nucleotide Polymorphism in the MDM2 Promoter Attenuates the p53 Tumor Suppressor Pathway and Accelerates Tumor Formation in Humans

2004 1.0k citations Harlan Robins, Arnold J. Levine et al. profile →
Comprehensive assessment of T-cell receptor β-chain diversity in αβ T cells

2009 780 citations Harlan Robins, Christopher S. Carlson et al. Blood profile →

Peers

Countries citing papers authored by Harlan Robins

Since Specialization

Citations

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

Fields of papers citing papers by Harlan Robins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harlan Robins

This figure shows the co-authorship network connecting the top 25 collaborators of Harlan Robins. A scholar is included among the top collaborators of Harlan Robins 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 Harlan Robins. Harlan Robins 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	Association of Tumor Microenvironment T-cell Repertoire and Mutational Load with Clinical Outcome after Sequential Checkpoint Blockade in Melanoma 2019 ·Cancer Immunology Research ·Erik Yusko, Marissa Vignali, Richard K. Wilson, Elaine R. Mardis, F. Stephen Hodi, Christine E. Horak, Han Chang, David Woods, Harlan Robins, Jeffrey S. Weber	38
2	Mobilization of CD8+ T Cells via CXCR4 Blockade Facilitates PD-1 Checkpoint Therapy in Human Pancreatic Cancer 2019 ·Clinical Cancer Research ·Yongwoo David Seo, Xiuyun Jiang, Kevin M. Sullivan, Florencia G. Jalikis, Kimberly S. Smythe, Arezou Abbasi, Marissa Vignali, James O. Park, Sara K. Daniel, Seth M. Pollack, Teresa S. Kim, Raymond S. Yeung, Ian Nicholas Crispe, Robert H. Pierce, Harlan Robins, Venu G. Pillarisetty	170
3	Extensive intrathecal T cell renewal following hematopoietic transplantation for multiple sclerosis 2019 ·JCI Insight ·Kristina M. Harris, Noha Lim, Paul Lindau, Harlan Robins, Linda M. Griffith, Richard A. Nash, Laurence A. Turka, Paolo A. Muraro	35
4	Model to improve specificity for identification of clinically-relevant expanded T cells in peripheral blood 2019 ·PLoS ONE ·Julie Rytlewski, Shibing Deng, Tao Xie, Craig B. Davis, Harlan Robins, Erik Yusko, Jadwiga Biénkowska	23
5	High-throughput sequencing of the T cell receptor β gene identifies aggressive early-stage mycosis fungoides 2018 ·Science Translational Medicine ·Adèle de Masson, John T. O’Malley, Christopher P. Elco, (unknown), Sherrie J. Divito, Elizabeth L. Lowry, Marianne Tawa, David C. Fisher, Phillip M. Devlin, Jessica E. Teague, Nicole R. LeBoeuf, Ilan R. Kirsch, Harlan Robins, Rachael A. Clark, Thomas S. Kupper	81
6	Fractionated Radiation Therapy Stimulates Antitumor Immunity Mediated by Both Resident and Infiltrating Polyclonal T-cell Populations when Combined with PD-1 Blockade 2017 ·Clinical Cancer Research ·Simon J. Dovedi, Eleanor J. Cheadle, (unknown), Edmund Poon, Michelle Morrow, Ross Stewart, Erik Yusko, Catherine Sanders, Marissa Vignali, Ryan Emerson, Harlan Robins, Robert W. Wilkinson, Jamie Honeychurch, Tim Illidge	263
7	Measurable residual disease detection by high-throughput sequencing improves risk stratification for pediatric B-ALL 2017 ·Blood ·Brent L. Wood, David Wu, Beryl Crossley, Yunfeng Dai, David Williamson, Charles Gawad, Michael J. Borowitz, Meenakshi Devidas, Kelly W. Maloney, Eric Larsen, Naomi Winick, Elizabeth A. Raetz, William L. Carroll, Stephen P. Hunger, Mignon L. Loh, Harlan Robins, Ilan Kirsch	130
8	Concurrent PD-1 Blockade Negates the Effects of OX40 Agonist Antibody in Combination Immunotherapy through Inducing T-cell Apoptosis 2017 ·Cancer Immunology Research ·Rajeev Shrimali, Shamim Ahmad, Vivek Verma, Peng Zeng, Sudha Ananth, Pankaj Gaur, Rachel M. Gittelman, Erik Yusko, Catherine Sanders, Harlan Robins, Scott A. Hammond, John E. Janik, Mikayel Mkrtichyan, Seema Gupta, Samir N. Khleif	117
9	Radiotherapy and CTLA-4 Blockade Shape the TCR Repertoire of Tumor-Infiltrating T Cells 2017 ·Cancer Immunology Research ·Nils-Petter Rudqvist, Karsten A. Pilones, Claire Lhuillier, Erik Wennerberg, John-William Sidhom, Ryan Emerson, Harlan Robins, Jonathan P. Schneck, Silvia C. Formenti, Sandra Demaria	163
10	Landscape of immunogenic tumor antigens in successful immunotherapy of virally induced epithelial cancer 2017 ·Science ·Sanja Stevanović, Anna Pasetto, Sarah R. Helman, Jared J. Gartner, Todd D. Prickett, Bryan Howie, Harlan Robins, Paul F. Robbins, Christopher A. Klebanoff, Steven A. Rosenberg, Christian S. Hinrichs	279
11	Tumor- and Neoantigen-Reactive T-cell Receptors Can Be Identified Based on Their Frequency in Fresh Tumor 2016 ·Cancer Immunology Research ·Anna Pasetto, Alena Gros, Paul F. Robbins, (unknown), Todd D. Prickett, Rodrigo Matus‐Nicodemos, Daniel C. Douek, Bryan Howie, Harlan Robins, Maria R. Parkhurst, Jared J. Gartner, Katarzyna Trebska-McGowan, Jessica S. Crystal, Steven A. Rosenberg	148
12	TCR Sequencing Can Identify and Track Glioma-Infiltrating T Cells after DC Vaccination 2016 ·Cancer Immunology Research ·(unknown), Shaina Sedighim, Tina Wang, Joseph Antonios, Richard G. Everson, Alexander M. Tucker, Lin Du, Ryan Emerson, Erik Yusko, Catherine Sanders, Harlan Robins, William H. Yong, Tom B. Davidson, Gang Li, Linda M. Liau, Robert M. Prins	53
13	Achieving Potent Autologous Neutralizing Antibody Responses against Tier 2 HIV-1 Viruses by Strategic Selection of Envelope Immunogens 2016 ·The Journal of Immunology ·Ann J. Hessell, Delphine C. Malherbe, Franco Pissani, Sean P. McBurney, Shelly J. Krebs, Michelle M. Gomes, Shilpi Pandey, William F. Sutton, Benjamin J. Burwitz, Matthew D. Gray, Harlan Robins, Byung Park, Jonah B. Sacha, Celia C. LaBranche, Deborah H. Fuller, David C. Montefiori, Leonidas Stamatatos, D. Noah Sather, Nancy L. Haigwood	34
14	Detection of Minimal Residual Disease in B Lymphoblastic Leukemia by High-Throughput Sequencing of IGH 2014 ·Clinical Cancer Research ·David Wu, Ryan Emerson, Anna Sherwood, Mignon L. Loh, Anne Angiolillo, Bryan Howie, Jennifer Vogt, Mark J. Rieder, Ilan R. Kirsch, Christopher S. Carlson, David Williamson, Brent L. Wood, Harlan Robins	106
15	The evolution of thymic lymphomas in p53 knockout mice 2014 ·Genes & Development ·Crissy Dudgeon, Chang Chan, (unknown), Yvonne Sun, Ryan Emerson, Harlan Robins, Arnold J. Levine	61
16	Minimal Residual Disease Detection By Next Generation Sequencing in Adult B-Cell Acute Lymphoblastic Leukemia (ALL) Patients Treated on SWOG Trial S0333 2014 ·Blood ·Olga Sala‐Torra, Megan Othus, David Williamson, Brent L. Wood, Ilan Kirsch, Harlan Robins, Margaret O’Donnell, Stephen J. Forman, Frederick R. Appelbaum, Jerald P. Radich	2
17	Suppression of immediate-early viral gene expression by herpesvirus-coded microRNAs: Implications for latency 2008 ·Proceedings of the National Academy of Sciences ·Eain A. Murphy, Jiří Vaníček, Harlan Robins, Thomas Shenk, Arnold J. Levine	220
18	A Recoding Method to Improve the Humoral Immune Response to an HIV DNA Vaccine 2008 ·PLoS ONE ·Yaoxing Huang, (unknown), Raúl Rabadán, Daniela Witten, (unknown), Arnold J. Levine, David D. Ho, Harlan Robins	7
19	Comparison of Avian and Human Influenza A Viruses Reveals a Mutational Bias on the Viral Genomes 2006 ·Journal of Virology ·Raúl Rabadán, Arnold J. Levine, Harlan Robins	98
20	Incorporating structure to predict microRNA targets 2005 ·Proceedings of the National Academy of Sciences ·Harlan Robins, Ying Li, Richard W. Padgett	192

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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