Ming Xin

1.4k citations
79 papers · 1.0k · h-index 19

Impact in

Papers in

    • Plant Molecular Biology Research 13
    • Plant Stress Responses and Tolerance 7
    • Marine and coastal ecosystems 21
    • Marine Biology and Ecology Research 8

Ming Xin

71 papers receiving 1.0k citations

Peers

Ming Xin
Comparison fields: 5 of 84
  • Horticulture 26
  • Oceanography 299
  • Environmental Chemistry 180
  • Health, Toxicology and Mutagenesis 219
  • Pollution 172
Replace Sunit Jain with:
Sunit Jain United States
Xue Ding China
Hui Fang China
Philippe Lalèyé Benin
Albert Gargallo‐Garriga Spain
Lei Feng China
M. V. Semenov Russia
Allison M. Veach United States
Lucas Sinclair Sweden
Mélanie Lelièvre France
Ming Xin relative to Sunit Jain United States Sunit Jain's profile →
Citations per field
00.5×3.3×
Sunit Jain · 1×
Citations per year

Countries citing papers authored by Ming Xin

Since Specialization
Citations

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

Fields of papers citing papers by Ming Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 202066
3 202347
4 201747
5 201942
6 202240
7 202135
8 202132
9 202131
10 202129
11 201829
12 202028
13 201527
14 201726
15 202125
16 202020
17 201719
18 201719
19 202118
20 202118

About Ming Xin

Ming Xin is a scholar working on Plant Science, Oceanography, Molecular Biology, Ecology and Environmental Chemistry, having authored 79 papers that have together received 1.0k indexed citations. Recurring topics across this work include Marine and coastal ecosystems (21 papers), Plant Molecular Biology Research (13 papers), Marine Biology and Ecology Research (8 papers), Photosynthetic Processes and Mechanisms (8 papers), Plant Stress Responses and Tolerance (7 papers), Marine Toxins and Detection Methods (6 papers), Toxic Organic Pollutants Impact (6 papers) and Cocoa and Sweet Potato Agronomy (6 papers). The work is most often cited by research in Horticulture (26 citations), Oceanography (299 citations), Environmental Chemistry (180 citations), Health, Toxicology and Mutagenesis (219 citations) and Pollution (172 citations). Ming Xin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Baodong Wang, Zhiwei Qin, Xiuyan Zhou, Xia Sun, Chunye Lin, Qinsheng Wei, Linping Xie, Junhui Chen, Mengchang He and Yuanxin Cao. Their work appears in journals such as The Science of The Total Environment, Marine Pollution Bulletin, Scientia Horticulturae, BMC Plant Biology and Frontiers in Plant 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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