Gary S. Hogge

23 total papers · 1.3k total citations
12 papers, 937 citations indexed

About

Gary S. Hogge is a scholar working on Genetics, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gary S. Hogge has authored 12 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Immunology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gary S. Hogge's work include Virus-based gene therapy research (5 papers), Immunotherapy and Immune Responses (3 papers) and Polyomavirus and related diseases (2 papers). Gary S. Hogge is often cited by papers focused on Virus-based gene therapy research (5 papers), Immunotherapy and Immune Responses (3 papers) and Polyomavirus and related diseases (2 papers). Gary S. Hogge collaborates with scholars based in United States, Israel and Germany. Gary S. Hogge's co-authors include Stefan Schreiber, Ian C. Lawrance, Brian G. Feagan, Darrin Despain, Paul Rutgeerts, Ronald Goldblum, Jean‐Frédéric Colombel, Stephen B. Hanauer, William J. Sandborn and Martin E. Sanders and has published in prestigious journals such as New England Journal of Medicine, Gastroenterology and The American Journal of Gastroenterology.

In The Last Decade

Gary S. Hogge

11 papers receiving 902 citations

Hit Papers

Natalizumab Induction and... 2005 2026 2012 2019 2005 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Gary S. Hogge 640 390 328 138 131 12 937
Jan M. H. van den Brande 408 0.6× 243 0.6× 349 1.1× 135 1.0× 58 0.4× 8 992
Matthias Jürgens 628 1.0× 441 1.1× 391 1.2× 162 1.2× 22 0.2× 19 882
Sylvia L. F. Pender 360 0.6× 226 0.6× 361 1.1× 276 2.0× 56 0.4× 20 1.1k
Nobuhito Kashiwagi 511 0.8× 337 0.9× 483 1.5× 72 0.5× 36 0.3× 26 889
Ulrike Billmeier 362 0.6× 192 0.5× 444 1.4× 120 0.9× 26 0.2× 16 840
Hedy Ginzberg 415 0.6× 181 0.5× 553 1.7× 54 0.4× 126 1.0× 15 920
Ellen G. van Lochem 207 0.3× 221 0.6× 488 1.5× 91 0.7× 65 0.5× 27 1.1k
Madelyn R. Schmidt 155 0.2× 250 0.6× 491 1.5× 84 0.6× 109 0.8× 24 987
Evelyn E. Zuckerman 292 0.5× 130 0.3× 360 1.1× 60 0.4× 134 1.0× 14 940
Diane Woods 382 0.6× 557 1.4× 219 0.7× 51 0.4× 57 0.4× 24 1.2k

Countries citing papers authored by Gary S. Hogge

Since Specialization
Citations

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

Fields of papers citing papers by Gary S. Hogge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary S. Hogge. 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 Gary S. Hogge. The network helps show where Gary S. Hogge may publish in the future.

Co-authorship network of co-authors of Gary S. Hogge

This figure shows the co-authorship network connecting the top 25 collaborators of Gary S. Hogge. A scholar is included among the top collaborators of Gary S. Hogge 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 Gary S. Hogge. Gary S. Hogge 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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