William M. Ridgway

5.9k citations
96 papers · 4.6k indexed · 1 hit paper · h-index 38
Topics
Liver Diseases and Immunity (42 papers)Diabetes and associated disorders (32 papers)Immune Cell Function and Interaction (28 papers)
Partner nations
United StatesJapanChina

In The Last Decade

William M. Ridgway

92 papers receiving 4.6k citations

Hit Papers

Mice with a disrupted IFN-γ gene are susceptible to the i...19962026200620161996250500750

Peers

William M. Ridgway
Comparison fields: 5 of 108
  • Immunology 2.0k
  • Hepatology 1.7k
  • Epidemiology 1.4k
  • Surgery 983
  • Genetics 816
Replace Maria Serena Longhi with:
Maria Serena Longhi United States
Minoru Nakamura Japan
Sheri M. Krams United States
Hermann E. Wasmuth Germany
Maria Lorena Abate Italy
Thierry Martin France
Hidenori Ochi Japan
Yves Renaudineau France
Elie‐Serge Zafrani France
Satoshi Yamagiwa Japan
William M. Ridgway relative to Maria Serena Longhi United States Maria Serena Longhi's profile →
Citations per field
00.5×1.7×
Maria Serena Longhi · 1×
Citations per year

Countries citing papers authored by William M. Ridgway

Since Specialization
Citations

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

Fields of papers citing papers by William M. Ridgway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William M. Ridgway

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 25
4 5
5 53
6 29
7 8
8 26
9 27
10 31
11 18
12 30
13 56
14 143
15 66
16 64
17 141
18 40
19 31
20 75

About William M. Ridgway

William M. Ridgway is a scholar working on Hepatology, Immunology and Genetics, having authored 96 papers that have together received 4.6k indexed citations. Recurring topics across this work include Liver Diseases and Immunity (42 papers), Diabetes and associated disorders (32 papers) and Immune Cell Function and Interaction (28 papers). The work is most often cited by research in Hepatology (1.7k citations), Immunology (2.0k citations) and Epidemiology (1.4k citations). William M. Ridgway has collaborated with scholars based in United States, Japan and China. Frequent co-authors include M. Eric Gershwin, Aftab A. Ansari, Patrick S.C. Leung, C. Garrison Fathman, C. Garrison Fathman, Stefan Brocke, Lawrence Steinman, Dyana K. Dalton, Iris Ferber and Cariel Taylor-Edwards. Their work appears in journals such as Science, The Journal of Experimental Medicine and Nature Immunology.

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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