Matthew Kaufman

58 total papers · 997 total citations
26 papers, 721 citations indexed

About

Matthew Kaufman is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Matthew Kaufman has authored 26 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 9 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Matthew Kaufman's work include Chronic Lymphocytic Leukemia Research (16 papers), Immunodeficiency and Autoimmune Disorders (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Matthew Kaufman is often cited by papers focused on Chronic Lymphocytic Leukemia Research (16 papers), Immunodeficiency and Autoimmune Disorders (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Matthew Kaufman collaborates with scholars based in United States, Sweden and Italy. Matthew Kaufman's co-authors include R. Kanti, Nicholas Chiorazzi, Jonathan E. Kolitz, Steven L. Allen, Rajendra N. Damle, Carlo Calissano, Elizabeth J. Murphy, Gregory M. Hayes, Cristina Sison and Marc K. Hellerstein and has published in prestigious journals such as Blood, Molecular Medicine and Colorectal Disease.

In The Last Decade

Matthew Kaufman

24 papers receiving 711 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew Kaufman 563 369 346 150 136 26 721
Giuliana Strola 568 1.0× 368 1.0× 466 1.3× 197 1.3× 204 1.5× 12 846
Laurens P. Kil 452 0.8× 271 0.7× 384 1.1× 228 1.5× 163 1.2× 14 801
Vasantha Brito‐Babapulle 498 0.9× 458 1.2× 284 0.8× 171 1.1× 233 1.7× 29 773
Nikolaos Laoutaris 622 1.1× 451 1.2× 440 1.3× 122 0.8× 109 0.8× 26 846
Simar Pal Singh 384 0.7× 233 0.6× 333 1.0× 225 1.5× 191 1.4× 14 781
Johannes Bloehdorn 577 1.0× 434 1.2× 319 0.9× 315 2.1× 136 1.0× 34 881
Justin C. Boysen 392 0.7× 251 0.7× 348 1.0× 217 1.4× 118 0.9× 24 680
Trine Lindhardt Plesner 277 0.5× 240 0.7× 202 0.6× 213 1.4× 215 1.6× 29 651
Candida Vitale 410 0.7× 244 0.7× 395 1.1× 160 1.1× 357 2.6× 46 829
Simona Tavolaro 382 0.7× 280 0.8× 219 0.6× 402 2.7× 141 1.0× 31 816

Countries citing papers authored by Matthew Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Kaufman

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026