Linda S. Wicker

18.9k citations
180 papers · 10.9k indexed · h-index 59

Linda S. Wicker

178 papers receiving 10.6k citations

Peers

Linda S. Wicker
Comparison fields: 5 of 122
  • Immunology 5.7k
  • Genetics 6.1k
  • Endocrinology, Diabetes and Metabolism 2.0k
  • Surgery 3.5k
  • Hepatology 489
Replace Laurence B. Peterson with:
Laurence B. Peterson United States
Roland Tisch United States
Manuela Battaglia Italy
Naoto Itoh Japan
Lucy S. K. Walker United Kingdom
Raquel Seruca Portugal
Eugen Koren United States
Kristin A. Hogquist United States
Peter C. Lucas United States
Katherine A. Siminovitch Canada
Linda S. Wicker relative to Laurence B. Peterson United States Laurence B. Peterson's profile →
Citations per field
00.5×5.0×
Laurence B. Peterson · 1×
Citations per year

Countries citing papers authored by Linda S. Wicker

Since Specialization
Citations

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

Fields of papers citing papers by Linda S. Wicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Linda S. Wicker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linda S. Wicker Line = papers co-authored together Linda S. Wicker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202414
2 202218
3 201829
4 20092
5 200954
6 200856
7 200813
8 200745
9 200625
10 200533
11 200448
12 200491
13 2004175
14 200359
15 1996119
16 1994101
17 1993251
18 198829
19 1988379
20
Resistance of H-2 heterozygous mice to parental tumors. II. Characterization of Hh-1 controlled hybrid resistance to syngeneic fibrosarcomas and the EL-4 lymphoma.
197720

About Linda S. Wicker

Linda S. Wicker is a scholar working on Immunology, Genetics and Surgery, having authored 180 papers that have together received 10.9k indexed citations. Recurring topics across this work include Diabetes and associated disorders (113 papers), T-cell and B-cell Immunology (73 papers), Pancreatic function and diabetes (70 papers), Immune Cell Function and Interaction (67 papers), Diabetes Management and Research (18 papers), Immunotherapy and Immune Responses (15 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Metabolism, Diabetes, and Cancer (12 papers). The work is most often cited by research in Immunology (5.7k citations), Genetics (6.1k citations) and Endocrinology, Diabetes and Metabolism (2.0k citations). Linda S. Wicker has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John A. Todd, Laurence B. Peterson, B J Miller, Paul Lyons, M C Appel, Patricia L. Podolin, Jan‐Bas Prins, Yoko Mullen, Neil Walker and Daniel B. Rainbow. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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