Ming Jin

869 citations
35 papers · 664 · h-index 13

Impact in

  • Biophysics top 2%
    • Electromagnetic Fields and Biological Effects
  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

    • Retinal Development and Disorders 7
    • Retinoids in leukemia and cellular processes 2
    • S100 Proteins and Annexins 2
    • Electromagnetic Fields and Biological Effects 5

Ming Jin

33 papers receiving 647 citations

Peers

Ming Jin
Comparison fields: 5 of 100
  • Biophysics 187
  • Aging 39
  • Physiology 74
  • Geriatrics and Gerontology 48
  • Physiology 157
Replace Mahmut Mijit with:
Mahmut Mijit United States
Purvi Trivedi Canada
Wanqing Du China
Fabio Annunziata Italy
Derek Timm United States
Pauline Garcia France
Biao Yu China
Silvia Paradisi Italy
Ki Baek Lee South Korea
Ming Jin relative to Mahmut Mijit United States Mahmut Mijit's profile →
Citations per field
00.5×4.8×
Mahmut Mijit · 1×
Citations per year

Countries citing papers authored by Ming Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ming Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201999
2 199869
3
Specific tumoricidal activity of a secreted proapoptotic protein consisting of HER2 antibody and constitutively active caspase-3.
200356
4 201552
5 199852
6 200051
7 199736
8 202335
9 199632
10 200429
11 201826
12 201816
13 202214
14 200612
15 201512
16 202210
17 20228
18 20207
19 20227
20 20236

About Ming Jin

Ming Jin is a scholar working on Molecular Biology, Biophysics, Ophthalmology, Physiology and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 664 indexed citations. Recurring topics across this work include Retinal Development and Disorders (7 papers), Electromagnetic Fields and Biological Effects (5 papers), Spaceflight effects on biology (4 papers), Glaucoma and retinal disorders (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Retinal Diseases and Treatments (3 papers), Retinoids in leukemia and cellular processes (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Biophysics (187 citations), Aging (39 citations), Physiology (74 citations), Geriatrics and Gerontology (48 citations) and Physiology (157 citations). Ming Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Martin Blank, Reba Goodman, Lin Hai, Mark Head, Hana Lin, Zhiwen Luo, Lei Han, Weiwei Sheng, Yue Wu and Ning Wang. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Journal of Cellular Biochemistry, Experimental Eye Research, Bioscience Reports and Applied Surface 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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