David M. Hyams

49 total papers · 2.7k total citations
36 papers, 2.1k citations indexed

About

David M. Hyams is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, David M. Hyams has authored 36 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 9 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in David M. Hyams's work include HER2/EGFR in Cancer Research (6 papers), Breast Cancer Treatment Studies (5 papers) and Cancer Treatment and Pharmacology (4 papers). David M. Hyams is often cited by papers focused on HER2/EGFR in Cancer Research (6 papers), Breast Cancer Treatment Studies (5 papers) and Cancer Treatment and Pharmacology (4 papers). David M. Hyams collaborates with scholars based in United States, Brazil and Australia. David M. Hyams's co-authors include Norman Wolmark, John Bryant, Bernard Fisher, Chanheun Park, D. Lawrence Wickerham, Soonmyung Paik, Marc E. Lippman, Elizabeth Tan-Chiu, Henry Gómez and Aviram Nissan and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer.

In The Last Decade

David M. Hyams

35 papers receiving 2.0k citations

Hit Papers

erbB-2 and Response to Do... 1998 2026 2007 2016 1998 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
David M. Hyams 1.5k 530 429 397 389 36 2.1k
Allan Topham 1.2k 0.8× 332 0.6× 699 1.6× 317 0.8× 391 1.0× 25 2.6k
Ian Kennedy 1.7k 1.1× 395 0.7× 279 0.7× 631 1.6× 379 1.0× 21 2.2k
J Richard 1.2k 0.8× 533 1.0× 468 1.1× 310 0.8× 283 0.7× 38 2.0k
Friedrich Prall 1.5k 1.0× 589 1.1× 477 1.1× 240 0.6× 304 0.8× 80 2.4k
George J. Olt 767 0.5× 678 1.3× 497 1.2× 329 0.8× 135 0.3× 38 2.3k
James Pettay 896 0.6× 305 0.6× 699 1.6× 513 1.3× 210 0.5× 43 1.8k
Marta Guix 1.3k 0.8× 325 0.6× 1.1k 2.6× 394 1.0× 370 1.0× 42 2.3k
S Hirohashi 597 0.4× 586 1.1× 711 1.7× 533 1.3× 265 0.7× 54 2.5k
D. Schultz 1.1k 0.7× 297 0.6× 383 0.9× 172 0.4× 534 1.4× 28 2.3k
Keith D. Amos 1.1k 0.7× 337 0.6× 493 1.1× 186 0.5× 575 1.5× 31 1.9k

Countries citing papers authored by David M. Hyams

Since Specialization
Citations

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

Fields of papers citing papers by David M. Hyams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Hyams

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

All Works

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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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