Ming Ding

58 papers receiving 1.8k citations

Peers

Ming Ding
Comparison fields: 5 of 127
  • Biotechnology 185
  • Physiology 79
  • Molecular Biology 1.1k
  • Oncology 351
  • Immunology 252
Replace Eugene W. Krueger with:
Eugene W. Krueger United States
Nazanine Modjtahedi France
Fred Levine United States
Cristina L. Ward United States
Vincent S. Tagliabracci United States
Feng Gu China
Ernst Jarosch Germany
Dale S. Gregerson United States
Junying Yuan United States
Jung Min Han South Korea
Ming Ding relative to Eugene W. Krueger United States Eugene W. Krueger's profile →
Citations per field
00.5×1.5×2.4×
Eugene W. Krueger · 1×
Citations per year

Countries citing papers authored by Ming Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013282
2 2015226
3 2017176
4 200588
5 201783
6 202068
7 202067
8 201657
9 201054
10 201652
11 201251
12 200746
13 200942
14 200938
15 201835
16 202334
17
Isolation of a multi-functional endogenous cellulase gene from mollusc, Ampullaria crossean.
200334
18 200528
19 201228
20 200426

About Ming Ding

Ming Ding is a scholar working on Biotechnology, Developmental Neuroscience, Molecular Biology, Nutrition and Dietetics and Anesthesiology and Pain Medicine, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (10 papers), Biofuel production and bioconversion (10 papers), Fossil Insects in Amber (5 papers), interferon and immune responses (5 papers), Microbial Metabolites in Food Biotechnology (4 papers), Studies on Chitinases and Chitosanases (4 papers), RNA and protein synthesis mechanisms (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Biotechnology (185 citations), Physiology (79 citations), Molecular Biology (1.1k citations), Oncology (351 citations) and Immunology (252 citations). Ming Ding has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yonghao Yu, Yajie Zhang, Fukun Zhao, Jianqi Wang, Masato Kato, Siheng Xiang, Steven L. McKnight, Yi Lin, Gen-Jun Xu and Leeju C. Wu. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Cell Reports, Applied Microbiology and Biotechnology, Journal of Medicinal Chemistry and Palaeoworld.

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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