Daniel E. Kaufmann

21.4k total citations · 1 hit paper
140 papers, 8.5k citations indexed

About

Daniel E. Kaufmann is a scholar working on Virology, Immunology and Infectious Diseases. According to data from OpenAlex, Daniel E. Kaufmann has authored 140 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Virology, 88 papers in Immunology and 34 papers in Infectious Diseases. Recurrent topics in Daniel E. Kaufmann's work include HIV Research and Treatment (92 papers), Immune Cell Function and Interaction (76 papers) and T-cell and B-cell Immunology (37 papers). Daniel E. Kaufmann is often cited by papers focused on HIV Research and Treatment (92 papers), Immune Cell Function and Interaction (76 papers) and T-cell and B-cell Immunology (37 papers). Daniel E. Kaufmann collaborates with scholars based in United States, Canada and Switzerland. Daniel E. Kaufmann's co-authors include Aart Kraay, Massimo Mastruzzi, Bruce D. Walker, Filippos Porichis, Andrés Finzi, Amy E. Baxter, Eric Rosenberg, Marylyn M. Addo, Jonathan Richard and Jean‐Pierre Routy and has published in prestigious journals such as JAMA, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Daniel E. Kaufmann

133 papers receiving 8.2k 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.

Governance Matters VIII: Aggregate And Individual Governance Indicators 1996-2008

2009 1.3k citations Daniel E. Kaufmann et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel E. Kaufmann United States	49	4.2k	3.9k	2.2k	1.5k	1.0k	140	8.5k
Gillian Rice United Kingdom	40	708 0.2×	3.0k 0.8×	834 0.4×	641 0.4×	2.8k 2.8×	125	7.1k
Sandra Cohen Greece	38	852 0.2×	852 0.2×	500 0.2×	531 0.4×	393 0.4×	207	3.9k
Mark Pearson Australia	31	1.6k 0.4×	792 0.2×	968 0.4×	529 0.4×	2.4k 2.4×	143	6.9k
Paul Klein United States	40	764 0.2×	1.4k 0.4×	153 0.1×	335 0.2×	634 0.6×	128	5.1k
Michael Greenberg United States	42	2.8k 0.7×	1.3k 0.3×	1.9k 0.9×	730 0.5×	1.2k 1.2×	170	6.1k
Robert Redfield United States	37	1.7k 0.4×	682 0.2×	2.4k 1.1×	1.5k 1.0×	445 0.4×	160	5.4k
Thomas R. OʼBrien United States	38	2.1k 0.5×	1.7k 0.4×	1.5k 0.7×	1.7k 1.2×	558 0.6×	126	5.4k
Mary McLaughlin United States	30	1.5k 0.4×	1.3k 0.3×	655 0.3×	754 0.5×	183 0.2×	61	3.5k
Charles Wood United States	45	1.6k 0.4×	1.5k 0.4×	1.7k 0.8×	2.6k 1.8×	1.3k 1.3×	258	7.0k
Adam Finn United Kingdom	53	130 0.0×	1.8k 0.4×	1.1k 0.5×	3.5k 2.3×	623 0.6×	326	10.2k

Countries citing papers authored by Daniel E. Kaufmann

Since Specialization

Citations

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

Fields of papers citing papers by Daniel E. Kaufmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Kaufmann. 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 Daniel E. Kaufmann. The network helps show where Daniel E. Kaufmann may publish in the future.

Co-authorship network of co-authors of Daniel E. Kaufmann

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Kaufmann. A scholar is included among the top collaborators of Daniel E. Kaufmann 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 Daniel E. Kaufmann. Daniel E. Kaufmann 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

Mu, Zepeng, Haley E. Randolph, Raúl Aguirre‐Gamboa, et al.. (2025). Impact of disease-associated chromatin accessibility QTLs across immune cell types and contexts. Cell Genomics. 6(1). 101061–101061.

Richard, Jonathan, Gérémy Sannier, Jérémie Prévost, et al.. (2024). CD4 downregulation precedes Env expression and protects HIV-1-infected cells from ADCC mediated by non-neutralizing antibodies. mBio. 15(11). e0182724–e0182724. 2 indexed citations

Dagher, Olina, Jonathan Richard, Jean‐Pierre Routy, et al.. (2023). Excess BAFF May Impact HIV-1-Specific Antibodies and May Promote Polyclonal Responses Including Those from First-Line Marginal Zone B-Cell Populations. Current Issues in Molecular Biology. 46(1). 25–43. 2 indexed citations

Tauzin, Alexandra, Mehdi Benlarbi, Halima Medjahed, et al.. (2023). Humoral Responses against BQ.1.1 Elicited after Breakthrough Infection and SARS-CoV-2 mRNA Vaccination. Vaccines. 11(2). 242–242. 7 indexed citations

Dubé, Mathieu & Daniel E. Kaufmann. (2022). Single-Cell Multiparametric Analysis of Rare HIV-Infected Cells Identified by Duplexed RNAflow-FISH. Methods in molecular biology. 2407. 291–313. 2 indexed citations

Tauzin, Alexandra, Gabrielle Gendron‐Lepage, Manon Nayrac, et al.. (2022). Evolution of Anti-RBD IgG Avidity following SARS-CoV-2 Infection. Viruses. 14(3). 532–532. 12 indexed citations

Brunet‐Ratnasingham, Elsa, Antigoni Morou, Mathieu Dubé, et al.. (2022). Immune checkpoint expression on HIV-specific CD4+ T cells and response to their blockade are dependent on lineage and function. EBioMedicine. 84. 104254–104254. 13 indexed citations

Benoit, Patrick, Simon Gagnon, Daniel E. Kaufmann, et al.. (2021). Impact of cobas PCR Media freezing on SARS-CoV-2 viral RNA integrity and whole genome sequencing analyses. Diagnostic Microbiology and Infectious Disease. 101(4). 115521–115521. 2 indexed citations

Niessl, Julia, Amy E. Baxter, Pilar Mendoza, et al.. (2020). Combination anti-HIV-1 antibody therapy is associated with increased virus-specific T cell immunity. Nature Medicine. 26(2). 222–227. 99 indexed citations

10.

Monette, Anne, Antigoni Morou, Nadia Al-Banna, et al.. (2019). Failed immune responses across multiple pathologies share pan-tumor and circulating lymphocytic targets. Journal of Clinical Investigation. 129(6). 2463–2479. 4 indexed citations

11.

Alsahafi, Nirmin, Jonathan Richard, Jérémie Prévost, et al.. (2017). Impaired Downregulation of NKG2D Ligands by Nef Proteins from Elite Controllers Sensitizes HIV-1-Infected Cells to Antibody-Dependent Cellular Cytotoxicity. Journal of Virology. 91(16). 27 indexed citations

12.

Reiss, Samantha, Amy E. Baxter, Kimberly M. Cirelli, et al.. (2017). Comparative analysis of activation induced marker (AIM) assays for sensitive identification of antigen-specific CD4 T cells. PLoS ONE. 12(10). e0186998–e0186998. 193 indexed citations

13.

Baxter, Amy E., Julia Niessl, Antigoni Morou, & Daniel E. Kaufmann. (2017). RNA flow cytometric FISH for investigations into HIV immunology, vaccination and cure strategies. AIDS Research and Therapy. 14(1). 40–40. 9 indexed citations

14.

Baxter, Amy E., Julia Niessl, Rémi Fromentin, et al.. (2017). Multiparametric characterization of rare HIV-infected cells using an RNA-flow FISH technique. Nature Protocols. 12(10). 2029–2049. 43 indexed citations

15.

Richard, Jonathan, Maxime Veillette, Annie‐Claude Labbé, et al.. (2014). Short Communication: Anti-HIV-1 Envelope Immunoglobulin Gs in Blood and Cervicovaginal Samples of Beninese Commercial Sex Workers. AIDS Research and Human Retroviruses. 30(11). 1145–1149. 19 indexed citations

16.

Veillette, Maxime, Anik Désormeaux, Halima Medjahed, et al.. (2013). Interaction with Cellular CD4 Exposes HIV-1 Envelope Epitopes Targeted by Antibody-Dependent Cell-Mediated Cytotoxicity. Journal of Virology. 88(5). 2633–2644. 202 indexed citations

17.

Wang, Bingxia, Elena Losina, Jennifer Zupkosky, et al.. (2011). Association of IL-10-Promoter Genetic Variants With the Rate of CD4 T-Cell Loss, IL-10 Plasma Levels, and Breadth of Cytotoxic T-Cell Lymphocyte Response During Chronic HIV-1 Infection. Clinical Infectious Diseases. 54(2). 294–302. 18 indexed citations

18.

Brockman, Mark A., Douglas S. Kwon, David F. Pavlik, et al.. (2009). IL-10 is up-regulated in multiple cell types during viremic HIV infection and reversibly inhibits virus-specific T cells. Blood. 114(2). 346–356. 225 indexed citations

19.

Norris, Philip J., Howell Moffett, Christian Brander, et al.. (2004). Fine Specificity and Cross-Clade Reactivity of HIV Type 1 Gag-Specific CD4 ⁺ T Cells. AIDS Research and Human Retroviruses. 20(3). 315–325. 26 indexed citations

20.

Hellman, Joel S. & Daniel E. Kaufmann. (2001). La captura del Estado en las economías en transición. 38(3). 31–35. 5 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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