Ming Jin

1.8k citations
63 papers · 1.4k · h-index 23

Impact in

Papers in

    • Geology and Paleoclimatology Research 37
    • Remote Sensing and Land Use 4
    • Tree-ring climate responses 4
    • Geological formations and processes 13
    • Aeolian processes and effects 7

Ming Jin

61 papers receiving 1.4k citations

Peers

Ming Jin
Comparison fields: 5 of 108
  • Earth-Surface Processes 500
  • Atmospheric Science 918
  • Paleontology 165
  • Anthropology 181
  • Health, Toxicology and Mutagenesis 111
Replace M. Desmet with:
M. Desmet France
Philipp Schulte Germany
Jaesoo Lim South Korea
György Varga Hungary
Jean‐François Buoncristiani France
Delminda Moura Portugal
Lei Song China
Raj K. Singh India
W W Shilts Canada
Guoqiang Li China
Ming Jin relative to M. Desmet France M. Desmet's profile →
Citations per field
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M. Desmet · 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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011135
2 201583
3 201177
4 201871
5 201168
6 200667
7 201361
8 202060
9 201254
10 201253
11 201452
12 201538
13 200633
14 201633
15 200331
16 202230
17 201330
18 201830
19 201229
20 201529

About Ming Jin

Ming Jin is a scholar working on Atmospheric Science, Earth-Surface Processes, Anthropology, Molecular Biology and Ecology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (37 papers), Geological formations and processes (13 papers), Pleistocene-Era Hominins and Archaeology (12 papers), Geomagnetism and Paleomagnetism Studies (8 papers), Aeolian processes and effects (7 papers), Isotope Analysis in Ecology (4 papers), Remote Sensing and Land Use (4 papers) and Tree-ring climate responses (4 papers). The work is most often cited by research in Earth-Surface Processes (500 citations), Atmospheric Science (918 citations), Paleontology (165 citations), Anthropology (181 citations) and Health, Toxicology and Mutagenesis (111 citations). Ming Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fahu Chen, Guoqiang Li, David B. Madsen, Weimiao Dong, Zongli Wang, Jiaju Zhao, Shichen Tao, Hui Zhao, Jiawu Zhang and Aifeng Zhou. Their work appears in journals such as Palaeogeography Palaeoclimatology Palaeoecology, Quaternary International, Medicine, The Holocene and Quaternary Research.

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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