William C. Florence

700 total citations
8 papers, 356 citations indexed

About

William C. Florence is a scholar working on Infectious Diseases, Genetics and Hematology. According to data from OpenAlex, William C. Florence has authored 8 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 2 papers in Genetics and 2 papers in Hematology. Recurrent topics in William C. Florence's work include Viral Infections and Outbreaks Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Viral Infections and Vectors (2 papers). William C. Florence is often cited by papers focused on Viral Infections and Outbreaks Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Viral Infections and Vectors (2 papers). William C. Florence collaborates with scholars based in United States and China. William C. Florence's co-authors include Fatoumata B. Sow, Larry S. Schlesinger, Abhay R. Satoskar, William P. Lafuse, Bruce S. Zwilling, Daniel Wolfe, Paula Wolf Bryant, Sebastian Joyce, Rakesh Bhat and J. Hewitt and has published in prestigious journals such as The Journal of Immunology, Cell Host & Microbe and Journal of Leukocyte Biology.

In The Last Decade

William C. Florence

8 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William C. Florence United States	6	148	102	91	86	76	8	356
Tanusree Sengupta India	11	46 0.3×	71 0.7×	49 0.5×	18 0.2×	136 1.8×	26	363
Melinda E. Varney United States	12	157 1.1×	149 1.5×	12 0.1×	30 0.3×	218 2.9×	19	465
Zhenping Ming China	11	23 0.2×	132 1.3×	40 0.4×	20 0.2×	154 2.0×	23	421
Elizabeth Gerhardt Argentina	9	86 0.6×	31 0.3×	60 0.7×	50 0.6×	225 3.0×	11	406
Ildikó Tóth United States	9	66 0.4×	354 3.5×	64 0.7×	20 0.2×	104 1.4×	12	597
Jézabel Rocher France	8	67 0.5×	99 1.0×	34 0.4×	11 0.1×	151 2.0×	11	437
Valarmathy Murugaiah United Kingdom	14	28 0.2×	213 2.1×	12 0.1×	14 0.2×	167 2.2×	27	486
A. Hunfeld Germany	8	202 1.4×	61 0.6×	4 0.0×	101 1.2×	34 0.4×	9	361
Ali A. Akhiani Sweden	12	34 0.2×	406 4.0×	12 0.1×	18 0.2×	91 1.2×	17	592
Lisi Huang China	10	17 0.1×	52 0.5×	71 0.8×	49 0.6×	104 1.4×	21	381

Countries citing papers authored by William C. Florence

Since Specialization

Citations

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

Fields of papers citing papers by William C. Florence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William C. Florence

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

All Works

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8 of 8 papers shown

Taylor, Kimberly L., Lynda Lanning, Lawrence A. Wolfraim, et al.. (2022). A U.S. Government-Coordinated Effort to Leverage Non-Human Primate Data to Facilitate Ebolavirus Vaccine Development. Vaccines. 10(8). 1201–1201. 4 indexed citations

Wolfe, Daniel, Carol L. Sabourin, Michael Merchlinsky, et al.. (2021). Selection of Filovirus Isolates for Vaccine Development Programs. Vaccines. 9(9). 1045–1045. 5 indexed citations

Hewitt, J., Cathleen Lutz, William C. Florence, et al.. (2020). ACTIVating Resources for the COVID-19 Pandemic: In Vivo Models for Vaccines and Therapeutics. Cell Host & Microbe. 28(5). 646–659. 28 indexed citations

Wolfe, Daniel, William C. Florence, & Paula Wolf Bryant. (2013). Current biodefense vaccine programs and challenges. Human Vaccines & Immunotherapeutics. 9(7). 1591–1597. 29 indexed citations

Wu, Zhao‐Hui, William C. Florence, Vrajesh V. Parekh, et al.. (2008). Cutting Edge: K63-Linked Polyubiquitination of NEMO Modulates TLR Signaling and Inflammation In Vivo. The Journal of Immunology. 180(11). 7107–7111. 38 indexed citations

Florence, William C., Rakesh Bhat, & Sebastian Joyce. (2008). CD1d-restricted glycolipid antigens: presentation principles, recognition logic and functional consequences. Expert Reviews in Molecular Medicine. 10. e20–e20. 17 indexed citations

Sow, Fatoumata B., William C. Florence, Bruce S. Zwilling, et al.. (2008). The iron export protein ferroportin 1 is differentially expressed in mouse macrophage populations and is present in the mycobacterial-containing phagosome. Journal of Leukocyte Biology. 84(3). 689–700. 63 indexed citations

Sow, Fatoumata B., William C. Florence, Abhay R. Satoskar, et al.. (2007). Expression and localization of hepcidin in macrophages: a role in host defense against tuberculosis. Journal of Leukocyte Biology. 82(4). 934–945. 172 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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