Eric P. Hanson

39 total papers · 2.0k total citations
21 papers, 766 citations indexed

About

Eric P. Hanson is a scholar working on Immunology, Cancer Research and Oncology. According to data from OpenAlex, Eric P. Hanson has authored 21 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Eric P. Hanson's work include Immune Response and Inflammation (8 papers), NF-κB Signaling Pathways (8 papers) and interferon and immune responses (6 papers). Eric P. Hanson is often cited by papers focused on Immune Response and Inflammation (8 papers), NF-κB Signaling Pathways (8 papers) and interferon and immune responses (6 papers). Eric P. Hanson collaborates with scholars based in United States, Austria and France. Eric P. Hanson's co-authors include John J. O’Shea, Jordan S. Orange, Min Chen, Paul S. Changelian, Michael J. May, Linda Monaco-Shawver, Lisa A. Madge, Pinaki P. Banerjee, Laura A. Solt and Xiao‐Jian Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Eric P. Hanson

19 papers receiving 749 citations

Author Peers

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

Author Last Decade Papers Cites
Eric P. Hanson 411 287 224 140 119 21 766
Christine Brender 476 1.2× 447 1.6× 256 1.1× 110 0.8× 91 0.8× 12 874
Thi Migone 595 1.4× 209 0.7× 141 0.6× 67 0.5× 58 0.5× 13 894
María I. García 208 0.5× 322 1.1× 311 1.4× 69 0.5× 98 0.8× 24 806
Mary C. Riedy 452 1.1× 374 1.3× 189 0.8× 53 0.4× 64 0.5× 10 840
Karsten W. Eriksen 381 0.9× 221 0.8× 147 0.7× 48 0.3× 79 0.7× 17 698
Sharon Veenbergen 368 0.9× 205 0.7× 211 0.9× 78 0.6× 79 0.7× 28 678
Gianfranco Savoldi 363 0.9× 179 0.6× 177 0.8× 50 0.4× 205 1.7× 36 667
Winfried Kammer 319 0.8× 317 1.1× 350 1.6× 114 0.8× 74 0.6× 21 797
Zvi G. Fridlender 506 1.2× 366 1.3× 222 1.0× 70 0.5× 103 0.9× 19 827
Mitsunari Yamamoto 235 0.6× 136 0.5× 297 1.3× 68 0.5× 163 1.4× 13 716

Countries citing papers authored by Eric P. Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Eric P. Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric P. Hanson. 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 Eric P. Hanson. The network helps show where Eric P. Hanson may publish in the future.

Co-authorship network of co-authors of Eric P. Hanson

This figure shows the co-authorship network connecting the top 25 collaborators of Eric P. Hanson. A scholar is included among the top collaborators of Eric P. Hanson 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 Eric P. Hanson. Eric P. Hanson 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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