F Lilly

5.2k total citations
99 papers, 3.9k citations indexed

About

F Lilly is a scholar working on Immunology, Genetics and Epidemiology. According to data from OpenAlex, F Lilly has authored 99 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Immunology, 43 papers in Genetics and 22 papers in Epidemiology. Recurrent topics in F Lilly's work include Virus-based gene therapy research (42 papers), Immune Cell Function and Interaction (22 papers) and Monoclonal and Polyclonal Antibodies Research (21 papers). F Lilly is often cited by papers focused on Virus-based gene therapy research (42 papers), Immune Cell Function and Interaction (22 papers) and Monoclonal and Polyclonal Antibodies Research (21 papers). F Lilly collaborates with scholars based in United States, France and Spain. F Lilly's co-authors include Wallace P. Rowe, Richard A. Steeves, Edward A. Boyse, Lloyd J. Old, Kenneth J. Blank, J E Bubbers, Theodore Pincus, Allen C. Schroeder, Carl T. Hansen and Gerri Hanten and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

F Lilly

97 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F Lilly United States 32 1.8k 1.4k 1.2k 661 612 99 3.9k
Natalie M. Teich United Kingdom 24 838 0.5× 1.3k 0.9× 1.8k 1.4× 598 0.9× 550 0.9× 37 3.7k
T. N. Fredrickson United States 29 1.3k 0.7× 524 0.4× 800 0.6× 673 1.0× 615 1.0× 93 3.0k
Neil Wilkie United Kingdom 38 1.1k 0.6× 1.5k 1.0× 2.0k 1.6× 454 0.7× 2.2k 3.6× 79 4.8k
Philip M. Grimley United States 36 858 0.5× 530 0.4× 1.2k 1.0× 510 0.8× 708 1.2× 108 4.2k
Jean‐Gérard Guillet France 36 2.5k 1.3× 702 0.5× 1.6k 1.3× 954 1.4× 688 1.1× 96 4.1k
T D Copeland United States 39 1.4k 0.8× 616 0.4× 3.0k 2.5× 1.3k 1.9× 506 0.8× 55 5.4k
D Baltimore United States 16 2.7k 1.5× 596 0.4× 3.3k 2.7× 1.2k 1.9× 537 0.9× 17 6.6k
Yacov Ron United States 33 2.0k 1.1× 615 0.4× 1.0k 0.8× 760 1.1× 392 0.6× 79 3.8k
Bradford A. Jameson United States 31 930 0.5× 361 0.3× 1.3k 1.1× 450 0.7× 364 0.6× 60 3.5k
M Sarmiento United States 18 1.4k 0.7× 408 0.3× 611 0.5× 263 0.4× 833 1.4× 23 2.4k

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 of co-authors of F Lilly

This figure shows the co-authorship network connecting the top 25 collaborators of F Lilly. A scholar is included among the top collaborators of F Lilly 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 F Lilly. F Lilly 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
2.
Klarnet, J, D E Kern, Kiyotaka Okuno, et al.. (1989). FBL-reactive CD8+ cytotoxic and CD4+ helper T lymphocytes recognize distinct Friend murine leukemia virus-encoded antigens.. The Journal of Experimental Medicine. 169(2). 457–467. 61 indexed citations
3.
Dasgupta, Uma B. & F Lilly. (1988). Chemically induced murine T lymphomas: continued rearrangement within the T-cell receptor beta-chain gene during serial passage.. Proceedings of the National Academy of Sciences. 85(9). 3193–3197. 7 indexed citations
4.
Ishizaka, Sally T. & F Lilly. (1987). Genetically determined resistance to 3-methylcholanthrene-induced lymphoma is expressed at the level of bone marrow-derived cells.. The Journal of Experimental Medicine. 166(2). 565–570. 7 indexed citations
6.
Geib, R, Mark Dizik, R. Anand, & F Lilly. (1987). Infection and transformation of Fν-2rr erythroprogenitor cells with Friend virus. Virus Research. 8(4). 327–333. 8 indexed citations
7.
Holt, Curtis A., et al.. (1986). Friend virus-specific cytotoxic T lymphocytes recognize both gag and env gene-encoded specificities.. The Journal of Experimental Medicine. 164(1). 211–226. 46 indexed citations
8.
Lilly, F, et al.. (1985). Genetic factors in susceptibility to viral leukemogenesis.. PubMed. 32. 39–46. 2 indexed citations
9.
Plata, Fernando, Maureen M. Goodenow, & F Lilly. (1980). Studies of cloned Friend erythroleukemia tumor cells. Modulation of the tumor-specific cytologic T lymphocyte response by infectious Friend virus production in vitro.. The Journal of Experimental Medicine. 151(3). 726–742. 19 indexed citations
10.
Bubbers, J E & F Lilly. (1978). Anti-Friend virus antibody-induced resistance of Friend virus-infected spleen cells to lysis mediated by anti-H-2 antisera.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(9). 2722–8. 11 indexed citations
11.
Steeves, Richard A., J E Bubbers, Fernando Plata, & F Lilly. (1978). Origin of spleen colonies generated by Friend virus-infected cells in mice.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(9). 2729–33. 16 indexed citations
12.
Lilly, F, et al.. (1978). The genetic basis of susceptibility to leukemia induction in mice by 3-methylcholanthrene applied percutaneously.. The Journal of Experimental Medicine. 147(2). 459–469. 52 indexed citations
13.
Steeves, Richard A., G. Steinheider, & F Lilly. (1977). Spleen colony formation in mice by friend leukemia cells. A result of donor or host cell proliferation.. The Mouseion at the JAXlibrary (Jackson Laboratory). 18. 71. 3 indexed citations
14.
Wernet, Dorothee, et al.. (1976). Genetic regulation of the antibody response to H-2Db alloantigens in mice. III. Inhibition of the IgG Response to noncongenic cells by preimmunization with congenic cells.. The Journal of Experimental Medicine. 144(3). 654–661. 15 indexed citations
15.
Dorf, Martin E., F Lilly, & Baruj Benacerraf. (1974). CHARACTERIZATION OF A NEW INTRA-H-2 RECOMBINANT. The Journal of Experimental Medicine. 140(3). 859–864. 11 indexed citations
16.
Ikeda, Hisami, Elisabeth Stockert, Wallace P. Rowe, et al.. (1973). RELATION OF CHROMOSOME 4 (LINKAGE GROUP VIII) TO MURINE LEUKEMIA VIRUS-ASSOCIATED ANTIGENS OF AKR MICE. The Journal of Experimental Medicine. 137(4). 1103–1107. 20 indexed citations
17.
Lilly, F, et al.. (1973). Combined Neoplastic Effects of Vaccinia Virus and 3-Methylcholanthrene. III. Susceptibility and Resistance in Transplanted Mouse Skin2. JNCI Journal of the National Cancer Institute. 51(5). 1597–1601. 1 indexed citations
18.
Lilly, F. (1972). Mouse Leukemia: A Model of a Multiple-Gene Disease<xref ref-type="fn" rid="FN1">1</xref><xref ref-type="fn" rid="FN2">2</xref>. JNCI Journal of the National Cancer Institute. 49(4). 927–34. 44 indexed citations
19.
Lilly, F. (1968). THE EFFECT OF HISTOCOMPATIBILITY-2 TYPE ON RESPONSE TO THE FRIEND LEUKEMIA VIRUS IN MICE. The Journal of Experimental Medicine. 127(3). 465–473. 126 indexed citations
20.
Lilly, F, Edward A. Boyse, & Lloyd J. Old. (1964). GENETIC BASIS OF SUSCEPTIBILITY TO VIRAL LEUKÆMOGENESIS. The Lancet. 284(7371). 1207–1209. 266 indexed citations

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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