Mingxin Che

2.5k citations
38 papers · 2.0k · h-index 25

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
    • Cancer, Lipids, and Metabolism
    • Protease and Inhibitor Mechanisms

Papers in

Mingxin Che

38 papers receiving 1.9k citations

Peers

Mingxin Che
Comparison fields: 5 of 99
  • Physiology 152
  • Cancer Research 375
  • Oncology 535
  • Biochemistry 120
  • Pathology and Forensic Medicine 220
Replace Tyler Lahusen with:
Tyler Lahusen United States
Long Wang China
Dale G. Hoyt United States
S. Calandra Italy
Keizo Dono Japan
Erzsébet Rásó Hungary
Kendra D. Tutsch United States
Michihisa Umetani United States
Ronald Barbaras France
JL Goldstein United States
Mingxin Che relative to Tyler Lahusen United States Tyler Lahusen's profile →
Citations per field
00.5×2.9×
Tyler Lahusen · 1×
Citations per year

Countries citing papers authored by Mingxin Che

Since Specialization
Citations

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

Fields of papers citing papers by Mingxin Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995148
2 2003133
3 1993130
4 2004106
5 200597
6 200493
7 200193
8 200591
9 201090
10 200284
11 200978
12 200778
13 200477
14 200775
15 200571
16 200367
17 200855
18 200748
19 199744
20 200643

About Mingxin Che

Mingxin Che is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Pharmacology, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (8 papers), Cancer, Lipids, and Metabolism (5 papers), Prostate Cancer Treatment and Research (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Phytoestrogen effects and research (4 papers), Renal cell carcinoma treatment (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Physiology (152 citations), Cancer Research (375 citations), Oncology (535 citations), Biochemistry (120 citations) and Pathology and Forensic Medicine (220 citations). Mingxin Che has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include David J. Grignon, Irwin M. Arias, Fazlul H. Sarkar, Daniel Ortiz, Zenaida Gatmaitan, Judith Abrams, Ömer Küçük, Michael L. Cher, Daniel R. Doerge and Gilda G. Hillman. Their work appears in journals such as Hepatology, Cancer Research, Cancer, Pathology International and Cancer and Metastasis Reviews.

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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