Kim Bottomly

19.2k total citations · 5 hit papers
153 papers, 16.2k citations indexed

About

Kim Bottomly is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Kim Bottomly has authored 153 papers receiving a total of 16.2k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Immunology, 25 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Physiology. Recurrent topics in Kim Bottomly's work include T-cell and B-cell Immunology (84 papers), Immune Cell Function and Interaction (81 papers) and Immunotherapy and Immune Responses (44 papers). Kim Bottomly is often cited by papers focused on T-cell and B-cell Immunology (84 papers), Immune Cell Function and Interaction (81 papers) and Immunotherapy and Immune Responses (44 papers). Kim Bottomly collaborates with scholars based in United States, France and Belgium. Kim Bottomly's co-authors include Stephanie L. Constant, Charles A. Janeway, Christina A. Herrick, Lauren Cohn, Simon R. Carding, Damani A. Piggott, David Leitenberg, Stephanie C. Eisenbarth, Theresa Pasqualini and James W. Huleatt and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kim Bottomly

153 papers receiving 15.8k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

INDUCTION OF TH1 AND TH2 CD4⁺T CELL RESPONSES:The Alternative Approaches

1997 1.3k citations Stephanie L. Constant, Kim Bottomly profile →
Lipopolysaccharide-enhanced, Toll-like Receptor 4–dependent T Helper Cell Type 2 Responses to Inhaled Antigen

2002 949 citations Stephanie C. Eisenbarth, Damani A. Piggott et al. The Journal of Experimental Medicine profile →
Signals and signs for lymphocyte responses

1994 711 citations Charles A. Janeway, Kim Bottomly profile →
Extent of T cell receptor ligation can determine the functional differentiation of naive CD4+ T cells.

1995 579 citations Stephanie L. Constant, Theresa Pasqualini et al. The Journal of Experimental Medicine profile →
Transcription Factor GATA-3 Is Differentially Expressed in Murine Th1 and Th2 Cells and Controls Th2-specific Expression of the Interleukin-5 Gene

1997 552 citations Lauren Cohn, Kim Bottomly et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kim Bottomly	11.5k	3.5k	2.3k	1.9k	1.8k	153	16.2k
D Rennick	10.7k 0.9×	3.2k 0.9×	3.7k 1.6×	1.4k 0.7×	2.1k 1.1×	80	18.3k
Jan Ceuppens	6.0k 0.5×	2.6k 0.8×	2.1k 0.9×	1.7k 0.9×	1.3k 0.7×	317	12.6k
Rosemarie H. DeKruyff	11.9k 1.0×	5.8k 1.6×	2.5k 1.1×	2.6k 1.4×	1.8k 1.0×	173	17.5k
Kiyoshi Takatsu	11.8k 1.0×	4.5k 1.3×	4.7k 2.0×	2.0k 1.1×	2.5k 1.4×	343	21.0k
Jacques Van Snick	9.7k 0.8×	1.9k 0.5×	3.1k 1.3×	1.0k 0.5×	3.1k 1.7×	178	15.8k
Francine Brière	15.4k 1.3×	1.4k 0.4×	2.9k 1.2×	1.4k 0.8×	2.5k 1.4×	74	19.1k
M W Bond	7.6k 0.7×	1.5k 0.4×	2.5k 1.1×	948 0.5×	1.5k 0.8×	31	12.7k
Martien L. Kapsenberg	10.1k 0.9×	2.3k 0.7×	2.1k 0.9×	2.4k 1.3×	1.4k 0.8×	127	14.7k
Satish Menon	8.0k 0.7×	2.3k 0.6×	1.9k 0.8×	1.5k 0.8×	1.7k 0.9×	37	12.3k
Kazuo Sugamura	12.2k 1.1×	1.8k 0.5×	4.9k 2.1×	894 0.5×	4.0k 2.2×	304	20.8k

Countries citing papers authored by Kim Bottomly

Since Specialization

Citations

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

Fields of papers citing papers by Kim Bottomly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Bottomly

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

All Works

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20 of 20 papers shown

Caplan, Michael J., Richard Baldwin, Xiangyun Yin, et al.. (2024). Scaleable production of highly loaded protein nanoparticles for immune modulation. Communications Materials. 5(1). 4 indexed citations

Jackman, Rachael P., Fran Balamuth, & Kim Bottomly. (2007). CTLA-4 Differentially Regulates the Immunological Synapse in CD4 T Cell Subsets. The Journal of Immunology. 178(9). 5543–5551. 15 indexed citations

Cook, Donald N. & Kim Bottomly. (2007). Innate Immune Control of Pulmonary Dendritic Cell Trafficking. Proceedings of the American Thoracic Society. 4(3). 234–239. 38 indexed citations

Balamuth, Fran, Jennifer L. Brogdon, & Kim Bottomly. (2004). CD4 Raft Association and Signaling Regulate Molecular Clustering at the Immunological Synapse Site. The Journal of Immunology. 172(10). 5887–5892. 59 indexed citations

Unternaehrer, Juli, et al.. (2004). Regulated Recruitment of MHC Class II and Costimulatory Molecules to Lipid Rafts in Dendritic Cells. The Journal of Immunology. 173(10). 6119–6124. 39 indexed citations

Herrick, Christina A., Lan Xu, Andrew N. J. McKenzie, Robert E. Tigelaar, & Kim Bottomly. (2003). IL-13 Is Necessary, Not Simply Sufficient, for Epicutaneously Induced Th2 Responses to Soluble Protein Antigen. The Journal of Immunology. 170(5). 2488–2495. 80 indexed citations

Li, Xiu-Min, Kamal Srivastava, James W. Huleatt, et al.. (2003). Engineered Recombinant Peanut Protein and Heat-Killed Listeria monocytogenes Coadministration Protects Against Peanut-Induced Anaphylaxis in a Murine Model. The Journal of Immunology. 170(6). 3289–3295. 115 indexed citations

Blander, J. Magarian, Derek B. Sant’Angelo, Daniela Metz, et al.. (2003). A Pool of Central Memory-Like CD4 T Cells Contains Effector Memory Precursors. The Journal of Immunology. 170(6). 2940–2948. 26 indexed citations

Brogdon, Jennifer L., et al.. (2003). Role of TCR-Induced Extracellular Signal-Regulated Kinase Activation in the Regulation of Early IL-4 Expression in Naive CD4+ T Cells. The Journal of Immunology. 170(5). 2427–2434. 123 indexed citations

10.

Constant, Stephanie L., Jennifer L. Brogdon, Damani A. Piggott, et al.. (2002). Resident lung antigen-presenting cells have the capacity to promote Th2 T cell differentiation in situ. Journal of Clinical Investigation. 110(10). 1441–1448. 10 indexed citations

11.

Brogdon, Jennifer L., David Leitenberg, & Kim Bottomly. (2002). The Potency of TCR Signaling Differentially Regulates NFATc/p Activity and Early IL-4 Transcription in Naive CD4+ T Cells. The Journal of Immunology. 168(8). 3825–3832. 112 indexed citations

12.

Eisenbarth, Stephanie C., Damani A. Piggott, James W. Huleatt, et al.. (2002). Lipopolysaccharide-enhanced, Toll-like Receptor 4–dependent T Helper Cell Type 2 Responses to Inhaled Antigen. The Journal of Experimental Medicine. 196(12). 1645–1651. 949 indexed citations breakdown →

13.

Cohn, Lauren, Christina A. Herrick, Naiqian Niu, Robert Homer, & Kim Bottomly. (2001). IL-4 Promotes Airway Eosinophilia by Suppressing IFN-γ Production: Defining a Novel Role for IFN-γ in the Regulation of Allergic Airway Inflammation. The Journal of Immunology. 166(4). 2760–2767. 76 indexed citations

14.

Wisnewski, Adam V., Ranjana Srivastava, Lan Xu, et al.. (2000). Identification of Human Lung and Skin Proteins Conjugated with Hexamethylene Diisocyanate in Vitro and in Vivo. American Journal of Respiratory and Critical Care Medicine. 162(6). 2330–2336. 99 indexed citations

15.

Cohn, Lauren, Robert Homer, Heather MacLeod, et al.. (1999). Th2-induced airway mucus production is dependent on IL-4Ralpha, but not on eosinophils.. PubMed. 162(10). 6178–83. 207 indexed citations

16.

Kamogawa, Yumiko, et al.. (1993). The selective ablation of interleukin 2-producing cells isolated from transgenic mice.. The Journal of Experimental Medicine. 177(5). 1451–1459. 39 indexed citations

17.

Doherty, Peter C., W Allan, Maryna C. Eichelberger, et al.. (1991). Involvement of gamma delta T cells in respiratory virus infections.. PubMed. 173. 291–6. 8 indexed citations

18.

Greenbaum, Laurence, Jay B. Horowitz, Amber N. Woods, et al.. (1988). Autocrine growth of CD4+ T cells. Differential effects of IL-1 on helper and inflammatory T cells.. The Journal of Immunology. 140(5). 1555–1560. 160 indexed citations

19.

Carding, Simon R. & Kim Bottomly. (1988). IL-4 (B cell stimulatory factor 1) exhibits thymocyte growth factor activity in the presence of IL-2.. The Journal of Immunology. 140(5). 1519–1526. 16 indexed citations

20.

Rasmussen, R. A., et al.. (1988). T cell-dependent hapten-specific and polyclonal B cell responses require release of interleukin 5.. The Journal of Immunology. 140(3). 705–712. 41 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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