Ming‐Jer Tang

169 papers receiving 7.6k citations

Ming‐Jer Tang's Hit Papers

KRAS-IRF2 Axis Drives Immune Suppression and Immune Therapy Resistance in Colorectal Cancer 2019 · 517 citations
5170+2+4Years since publication100200300400500

Peers

Ming‐Jer Tang
Comparison fields: 5 of 126
  • Cell Biology 1.4k
  • Immunology and Allergy 478
  • Sensory Systems 312
  • Nephrology 406
  • Oncology 908
Replace Joanne E. Murphy-Ullrich with:
Joanne E. Murphy-Ullrich United States
Daniel F. Bowen‐Pope United States
David O. Bates United Kingdom
Ervin H. Epstein United States
Miguel Angel del Pozo Spain
Jeffrey S. Rubin United States
Takeshi Endo Japan
Yi-Shuan Julie Li United States
Calvin D. Roskelley Canada
Ming‐Jer Tang relative to Joanne E. Murphy-Ullrich United States Joanne E. Murphy-Ullrich's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming‐Jer Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Jer Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Jer Tang. 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 Ming‐Jer Tang. The network helps show where Ming‐Jer Tang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1
KRAS-IRF2 Axis Drives Immune Suppression and Immune Therapy Resistance in Colorectal Cancer
Hit paper breakdown →
2019517
2 2015404
3 2011300
4 2008225
5 2007172
6 2013171
7 2017165
8 2006153
9 2015146
10 2017131
11 2012128
12 2002126
13 2004126
14 1998117
15 2010111
16 2004110
17 2006108
18 2018104
19 199997
20 200097

About Ming‐Jer Tang

Ming‐Jer Tang is a scholar working on Cell Biology, Immunology and Allergy, Molecular Biology, Sensory Systems and Oncology, having authored 173 papers that have together received 7.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (37 papers), Cell Adhesion Molecules Research (20 papers), Cell death mechanisms and regulation (16 papers), Ion Transport and Channel Regulation (16 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), TGF-β signaling in diseases (8 papers), Ion Channels and Receptors (7 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Cell Biology (1.4k citations), Immunology and Allergy (478 citations), Sensory Systems (312 citations), Nephrology (406 citations) and Oncology (908 citations). Ming‐Jer Tang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Hsi‐Hui Lin, Yang-Kao Wang, Meng‐Ru Shen, Cheng-Yang Chou, Ching‐Yi Liu, Wen‐Tai Chiu, Si‐Tse Jiang, Hans I‐Chen Harn, Peter N. Devreotes and Gregory R. Dressler. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Cell Physiology, Journal of Biomedical Science, Kidney International and Journal of Cellular Physiology.

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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