Jimmy Tan

1.3k citations

9 papers · 1.2k indexed · 1 hit paper · h-index 9

Impact in

Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Immunology top 5%
- Mast cells and histamine
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses

Papers in

Immunology and Allergy 3
- Cell Adhesion Molecules Research 3
Immunology 5
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- interferon and immune responses 1
- Mast cells and histamine 1

Co-authors: Prabir Ray Peter Besmer Paula Traktman Tang‐Yuan Chu K Nocka E. K. W. Chiu Karl Nocka S K Narula
Journals: Journal of Biological Chemistry (2 papers)Genes & Development (1 paper)The EMBO Journal (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Science (1 paper)
Partner nations: United States India United Kingdom

In The Last Decade

Jimmy Tan

9 papers receiving 1.1k citations

Hit Papers

align trajectories log scale

Molecular bases of dominant negative and loss of function mutations at the murine c-kit/white spotting locus: W37, Wv, W41 and W. 1990 · 520 citations

Peers

Countries citing papers authored by Jimmy Tan

Since Specialization

Citations

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

Fields of papers citing papers by Jimmy Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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9 of 9 papers shown

#	Work
1	Characterization of microRNA expression profiles in Leishmania‐infected human phagocytes Parasite Immunology ·Nicholas Geraci, Jimmy Tan, Mary Ann McDowell	2014	70
2	Development of a CD28 Receptor Binding-Based Screen and Identification of a Biologically Active Inhibitor Analytical Biochemistry ·Chung‐Her Jenh, Meng Zhang, Maria Wiekowski, Jimmy Tan, Xuedong Fan, Vinod R. Hegde, Mahesh Patel, Robert W. Bryant, Satwant K. Narula, Paul J. Zavodny, Chuan‐Chu Chou	1998	12
3	Characterization of Interleukin-10 Receptor Expression on B-Cell Chronic Lymphocytic Leukemia Cells Blood ·Jesper Jurlander, Chunfai Lai, Jimmy Tan, Chuan‐Chu Chou, Christian H. Geisler, Jeffrey Schriber, Leslie E. Blumenson, Satwant K. Narula, Heinz Baumann, Michael A. Caligiuri	1997	67
4	Characterization of Recombinant Extracellular Domain of Human Interleukin-10 Receptor Journal of Biological Chemistry ·Jimmy Tan, Serafina Braun, Hong Rong, Ruth DiGiacomo, Edward Dolphin, Samuel Baldwin, Satwant K. Narula, Paul J. Zavodny, Chuan‐Chu Chou	1995	55
5	Characterization of interleukin-10 receptors on human and mouse cells. Journal of Biological Chemistry ·Jimmy Tan, Stephen R. Indelicato, S K Narula, P J Zavodny, Chin-Cheng Chou	1993	128
6	Ectopic expression of a c-kitW42 minigene in transgenic mice: recapitulation of W phenotypes and evidence for c-kit function in melanoblast progenitors. Genes & Development ·Prabir Ray, K M Higgins, Jimmy Tan, Tang‐Yuan Chu, Nelson S. Yee, Nguyen Thi Thu Hang, Elizabeth Lacy, Peter Besmer	1991	38
7	Molecular bases of dominant negative and loss of function mutations at the murine c-kit/white spotting locus: W37, Wv, W41 and W. The EMBO Journal ·K Nocka, Jimmy Tan, E. K. W. Chiu, Tang‐Yuan Chu, Prabir Ray, Paula Traktman, Peter Besmer Hit paper breakdown →	1990	520
8	The Dominant W ⁴² Spotting Phenotype Results from a Missense Mutation in the c- kit Receptor Kinase Science ·Jimmy Tan, Karl Nocka, Prabir Ray, Paula Traktman, Peter Besmer	1990	250
9	Sister Chromatid Exchanges and Growth Inhibition Induced by the Flame Retardant Tris(2,3-dibromopropyl) Phosphate in Chinese Hamster Cells: Brief Communication 2 JNCI Journal of the National Cancer Institute ·M. Furukawa, S.R. Sirianni, Jimmy Tan, C. C. Huang	1978	16

About Jimmy Tan

Jimmy Tan is a scholar working on Immunology and Allergy, Immunology, Genetics, Molecular Biology and Oncology, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), Genomics and Chromatin Dynamics (2 papers), interferon and immune responses (1 paper), Signaling Pathways in Disease (1 paper), Peptidase Inhibition and Analysis (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Immunology and Allergy (164 citations), Immunology (539 citations), Hematology (139 citations), Cell Biology (150 citations) and Genetics (97 citations). Jimmy Tan has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Prabir Ray, Peter Besmer, Paula Traktman, Tang‐Yuan Chu, K Nocka, E. K. W. Chiu, Karl Nocka, S K Narula, Chin-Cheng Chou and Stephen R. Indelicato. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development, The EMBO Journal, JNCI Journal of the National Cancer Institute and Science.

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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