Randall S. Davis

3.4k total citations
58 papers, 2.0k citations indexed

About

Randall S. Davis is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Randall S. Davis has authored 58 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 25 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Genetics. Recurrent topics in Randall S. Davis's work include T-cell and B-cell Immunology (28 papers), Monoclonal and Polyclonal Antibodies Research (25 papers) and Immune Cell Function and Interaction (19 papers). Randall S. Davis is often cited by papers focused on T-cell and B-cell Immunology (28 papers), Monoclonal and Polyclonal Antibodies Research (25 papers) and Immune Cell Function and Interaction (19 papers). Randall S. Davis collaborates with scholars based in United States, Czechia and France. Randall S. Davis's co-authors include Max D. Cooper, Götz R. A. Ehrhardt, Joyce T. Hsu, Hiromi Kubagawa, Yui‐Hsi Wang, Shuangyin Zhang, Chuen-Miin Leu, Chuen‐Miin Leu, Daniel M. Schreeder and Fu Jun Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Randall S. Davis

56 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Randall S. Davis United States 25 1.5k 587 472 296 205 58 2.0k
Sandra Weller France 21 1.5k 1.1× 213 0.4× 425 0.9× 248 0.8× 168 0.8× 30 2.1k
Mohamed Uduman United States 17 1.1k 0.7× 459 0.8× 601 1.3× 132 0.4× 310 1.5× 25 1.8k
Carolyn K. Goldman United States 27 1.5k 1.0× 476 0.8× 375 0.8× 213 0.7× 546 2.7× 44 2.4k
Mohammad Zafari United States 16 1.5k 1.0× 323 0.6× 506 1.1× 97 0.3× 348 1.7× 29 2.0k
Sandra Gardam Australia 15 1.6k 1.1× 223 0.4× 379 0.8× 88 0.3× 217 1.1× 18 2.1k
Sherri Mudri United States 10 1.3k 0.9× 369 0.6× 311 0.7× 121 0.4× 185 0.9× 17 1.8k
Thomas J. Sproule United States 20 1.3k 0.9× 1.1k 1.8× 879 1.9× 128 0.4× 259 1.3× 39 2.4k
Claudia Giesecke‐Thiel Germany 15 939 0.6× 395 0.7× 423 0.9× 94 0.3× 187 0.9× 20 1.5k
Christiane Werner‐Favre Switzerland 14 1.1k 0.8× 290 0.5× 304 0.6× 138 0.5× 170 0.8× 25 1.7k
E C Milner United States 30 1.7k 1.2× 871 1.5× 636 1.3× 333 1.1× 139 0.7× 56 2.6k

Countries citing papers authored by Randall S. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Randall S. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Randall S. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Randall S. Davis. A scholar is included among the top collaborators of Randall S. Davis 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 Randall S. Davis. Randall S. Davis 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
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Pinheiro, Ana, et al.. (2023). Evidence for Extensive Duplication and Subfunctionalization of FCRL6 in Armadillo (Dasypus novemcinctus). International Journal of Molecular Sciences. 24(5). 4531–4531. 2 indexed citations
3.
Mamidi, Murali K., Kazuhito Honjo, Ran Li, et al.. (2023). FCRL1 immunoregulation in B cell development and malignancy. Frontiers in Immunology. 14. 1251127–1251127. 7 indexed citations
4.
Honjo, Kazuhito, Woong-Jai Won, R. Glenn King, et al.. (2020). Fc Receptor-Like 6 (FCRL6) Discloses Progenitor B Cell Heterogeneity That Correlates With Pre-BCR Dependent and Independent Pathways of Natural Antibody Selection. Frontiers in Immunology. 11. 82–82. 7 indexed citations
5.
Davis, Randall S.. (2020). Roles for the FCRL6 Immunoreceptor in Tumor Immunology. Frontiers in Immunology. 11. 575175–575175. 23 indexed citations
6.
Shea, Lauren, Kazuhito Honjo, David T. Redden, et al.. (2019). Fc receptor-like 2 (FCRL2) is a novel marker of low-risk CLL and refines prognostication based on IGHV mutation status. Blood Cancer Journal. 9(6). 47–47. 9 indexed citations
7.
Shea, Lauren, Fady M. Mikhail, Andres Forero‐Torres, & Randall S. Davis. (2017). Concomitant imatinib and ibrutinib in a patient with chronic myelogenous leukemia and chronic lymphocytic leukemia. Clinical Case Reports. 5(6). 899–901. 6 indexed citations
8.
Won, Woong-Jai, Juliet Easlick, Edlue M. Tabengwa, et al.. (2014). Emerging Roles for the FCRL Family Members in Lymphocyte Biology and Disease. Current topics in microbiology and immunology. 382. 29–50. 40 indexed citations
9.
Burrows, Peter D., Teresa Santiago, Olga Y. Volkova, et al.. (2011). FCRLA is an intracellular FcR-related protein that binds IgM, IgG and IgA isotypes in B cells (45.11). The Journal of Immunology. 186(1_Supplement). 45.11–45.11. 1 indexed citations
10.
Davis, Randall S., et al.. (2010). Fc receptor-like 5 has dominant inhibitory function in B cells that is mediated via Lyn and SHP-1 (84.5). The Journal of Immunology. 184(Supplement_1). 84.5–84.5. 1 indexed citations
11.
Santiago, Teresa, Sergey V. Kulemzin, Olga Y. Volkova, et al.. (2010). FCRLA is a resident endoplasmic reticulum protein that associates with intracellular Igs, IgM, IgG and IgA. International Immunology. 23(1). 43–53. 24 indexed citations
12.
Schreeder, Daniel M., et al.. (2010). Cutting Edge: FcR-Like 6 Is an MHC Class II Receptor. The Journal of Immunology. 185(1). 23–27. 51 indexed citations
13.
Xiao, Wenbin, Hong Hong, Yuko Kawakami, et al.. (2009). Tumor Suppression by Phospholipase C-β3 via SHP-1-Mediated Dephosphorylation of Stat5. Cancer Cell. 16(2). 161–171. 66 indexed citations
14.
Schreeder, Daniel M., et al.. (2008). FCRL6 distinguishes mature cytotoxic lymphocytes and is upregulated in patients with B‐cell chronic lymphocytic leukemia. European Journal of Immunology. 38(11). 3159–3166. 35 indexed citations
15.
Leu, Chuen‐Miin, Shuangyin Zhang, Güzide Aksu, et al.. (2007). Fc Receptor–like Proteins (FCRL): Immunomodulators of B Cell Function. Advances in experimental medicine and biology. 596. 155–162. 35 indexed citations
16.
Won, Woong-Jai, et al.. (2006). Fc Receptor Homolog 3 Is a Novel Immunoregulatory Marker of Marginal Zone and B1 B Cells. The Journal of Immunology. 177(10). 6815–6823. 36 indexed citations
17.
Masuda, Keiji, Randall S. Davis, Takako Maruyama, et al.. (2005). FcRY, an Fc receptor related gene differentially expressed during B lymphocyte development and activation. Gene. 363. 32–40. 14 indexed citations
18.
Davis, Randall S., et al.. (2005). An extended family of Fc receptor relatives. European Journal of Immunology. 35(3). 674–680. 57 indexed citations
19.
Davis, Randall S.. (2004). Differential B cell expression of mouse Fc receptor homologs. International Immunology. 16(9). 1343–1353. 31 indexed citations
20.
Richardson, John F., Merrill I. Feldman, & Randall S. Davis. (1989). Small round cell neoplasm of jaw in a patient with medulloblastoma. Journal of Oral and Maxillofacial Surgery. 47(4). 408–410. 5 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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