Jack Lichy

65 papers receiving 2.3k citations

Peers

Jack Lichy
Comparison fields: 5 of 103
  • Genetics 724
  • Oncology 492
  • Pathology and Forensic Medicine 303
  • Molecular Biology 1.0k
  • Infectious Diseases 237
Replace Frans C.�S. Ramaekers with:
Frans C.�S. Ramaekers Netherlands
Cynthia L. Fisher United Kingdom
Felicia L. Graham United States
Tsuyoshi Uchida Japan
Frans G. M. Kroese Netherlands
P Rubinstein United States
Richard T. Parmley United States
Ben Falk United States
Sally Roberts United Kingdom
Marcel G.J. Tilanus Netherlands
Jack Lichy relative to Frans C.�S. Ramaekers Netherlands Frans C.�S. Ramaekers's profile →
Citations per field
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Frans C.�S. Ramaekers · 1×
Citations per year

Countries citing papers authored by Jack Lichy

Since Specialization
Citations

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

Fields of papers citing papers by Jack Lichy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Lichy. 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 Jack Lichy. The network helps show where Jack Lichy may publish in the future.

Co-authors

The 25 scholars most cited alongside Jack Lichy, 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 Jack Lichy Line = papers co-authored together Jack Lichy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982315
2 2011196
3 1997138
4 1981134
5 1982115
6 2007106
7 1981106
8 200193
9 200073
10 199671
11 199569
12 199867
13 200158
14 200056
15 200953
16 200848
17 198442
18 199741
19 200039
20 198337

About Jack Lichy

Jack Lichy is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Genetics and Epidemiology, having authored 69 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Virus-based gene therapy research (8 papers), Viral-associated cancers and disorders (7 papers), Genomics and Chromatin Dynamics (6 papers), Animal Genetics and Reproduction (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Sarcoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Genetics (724 citations), Oncology (492 citations), Pathology and Forensic Medicine (303 citations), Molecular Biology (1.0k citations) and Infectious Diseases (237 citations). Jack Lichy has collaborated with scholars based in United States, Pakistan and Hong Kong. Frequent co-authors include J Hurwitz, Jeffery K. Taubenberger, Marshall S. Horwitz, Toshiki Enomoto, Karen E. Bijwaard, Amy E. Krafft, R A Guggenheimer, Kyosuke Nagata, Pin‐Yu Perera and Liyanage P. Perera. Their work appears in journals such as Proceedings of the National Academy of Sciences, Archives of Pathology & Laboratory Medicine, American Journal Of Pathology, Journal of Biological Chemistry and Modern Pathology.

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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