F Lilly

5.2k citations
99 papers · 3.9k indexed · h-index 32

F Lilly

97 papers receiving 3.4k citations

Peers

F Lilly
Comparison fields: 5 of 104
  • Virology 661
  • Immunology 1.8k
  • Genetics 1.4k
  • Animal Science and Zoology 381
  • Hematology 217
Replace Natalie M. Teich with:
Natalie M. Teich United Kingdom
T. N. Fredrickson United States
Neil Wilkie United Kingdom
Philip M. Grimley United States
T D Copeland United States
Jean‐Gérard Guillet France
D Baltimore United States
Bradford A. Jameson United States
Reinhold Schirmbeck Germany
Yacov Ron United States
F Lilly relative to Natalie M. Teich United Kingdom Natalie M. Teich's profile →
Citations per field
00.5×6.3×
Natalie M. Teich · 1×
Citations per year

Countries citing papers authored by F Lilly

Since Specialization
Citations

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

Fields of papers citing papers by F Lilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 198961
2 19877
3 19876
4 19878
5 198646
6 198313
7 198135
8 198019
9 197913
10
Origin of spleen colonies generated by Friend virus-infected cells in mice.
197816
11
Anti-Friend virus antibody-induced resistance of Friend virus-infected spleen cells to lysis mediated by anti-H-2 antisera.
197811
12 197852
13 197862
14
Spleen colony formation in mice by friend leukemia cells. A result of donor or host cell proliferation.
19773
15 1975124
16 197528
17 197411
18 197320
19 197244
20 1964266

About F Lilly

F Lilly is a scholar working on Virology, Immunology and Genetics, having authored 99 papers that have together received 3.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (42 papers), Immune Cell Function and Interaction (22 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), HIV Research and Treatment (18 papers), Animal Virus Infections Studies (15 papers), Immunotherapy and Immune Responses (15 papers), Hepatitis B Virus Studies (12 papers) and T-cell and B-cell Immunology (11 papers). The work is most often cited by research in Virology (661 citations), Immunology (1.8k citations) and Genetics (1.4k citations). F Lilly has collaborated with scholars based in United States, Thailand and Spain. Frequent co-authors include Wallace P. Rowe, Richard A. Steeves, Edward A. Boyse, Lloyd J. Old, Kenneth J. Blank, J E Bubbers, Theodore Pincus, Gerri Hanten, Kerry B. Gunning and Makoto M. Taketo. Their work appears in journals such as The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute, Journal of Virology and Nature.

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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