Ming‐Jim Yang

916 citations
16 papers · 737 · h-index 11

Impact in

Papers in

Ming‐Jim Yang

15 papers receiving 726 citations

Peers

Ming‐Jim Yang
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 409
  • Cellular and Molecular Neuroscience 130
  • Geriatrics and Gerontology 18
  • Molecular Biology 276
  • Emergency Medicine 33
Replace Caiyun Wu with:
Caiyun Wu China
Deborah Janks United States
Brian M. Ramza United States
Jacques M de Bakker Netherlands
Leo Lam New Zealand
Sven Kaese Germany
David Filgueiras‐Rama Spain
Yuji Wakayama Japan
Francesca De Stefano Italy
Julia Morgenstern Germany
Ming‐Jim Yang relative to Caiyun Wu China Caiyun Wu's profile →
Citations per field
00.5×2×3×4×4.7×
Caiyun Wu · 1×
Citations per year

Countries citing papers authored by Ming‐Jim Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Jim Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007331
2 201467
3 201865
4 202143
5 201342
6 200641
7 200636
8 201729
9 201319
10 201619
11 200719
12 200710
13 20178
14 20177
15 20181
16 20200

About Ming‐Jim Yang

Ming‐Jim Yang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Geriatrics and Gerontology, Hepatology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 737 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (4 papers), Intraperitoneal and Appendiceal Malignancies (3 papers), Autophagy in Disease and Therapy (3 papers), Neuroscience and Neural Engineering (2 papers), Muscle and Compartmental Disorders (2 papers), Abdominal Surgery and Complications (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (409 citations), Cellular and Molecular Neuroscience (130 citations), Geriatrics and Gerontology (18 citations), Molecular Biology (276 citations) and Emergency Medicine (33 citations). Ming‐Jim Yang has collaborated with scholars based in United States. Frequent co-authors include Alan Garfinkel, James N. Weiss, Zhilin Qu, Ali Baher, Aman Mahajan, Riccardo Olcese, Alain Karma, Daisuke Sato, Lai‐Hua Xie and PENG‐SHENG CHEN. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Cell Physiology, Journal of Gastrointestinal Surgery, Cell Transplantation and The Journal of the American Board of Family Medicine.

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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