Ming‐Ming Jiang

59 papers receiving 2.4k citations

Peers

Ming‐Ming Jiang
Comparison fields: 5 of 121
  • Developmental Neuroscience 231
  • Cancer Research 507
  • Molecular Biology 1.5k
  • Aging 35
  • Rheumatology 296
Replace Gergana Dobreva with:
Gergana Dobreva Germany
Dmitry A. Ovchinnikov Australia
Go Shioi Japan
Yujiro Higashi Japan
Arthur M. Buchberg United States
Lars E. Theill United States
Dejan Lazarević Italy
Mohammad K. Hajihosseini United Kingdom
Kaya Bilgüvar United States
Corrinne G. Lobe Canada
Ming‐Ming Jiang relative to Gergana Dobreva Germany Gergana Dobreva's profile →
Citations per field
00.5×3.1×
Gergana Dobreva · 1×
Citations per year

Countries citing papers authored by Ming‐Ming Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Ming Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming‐Ming Jiang, 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‐Ming Jiang Line = papers co-authored together Ming‐Ming Jiang 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 1996397
2 1997220
3 2017172
4 2000161
5 2013148
6 2009147
7 201895
8 201369
9 201265
10 200257
11 202056
12 200152
13 201245
14 199341
15 201040
16 199339
17 201538
18 201836
19 199036
20 199434

About Ming‐Ming Jiang

Ming‐Ming Jiang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology, Endocrine and Autonomic Systems and Cancer Research, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (6 papers), Neuropeptides and Animal Physiology (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Cancer-related molecular mechanisms research (5 papers), Hereditary Neurological Disorders (4 papers), Circular RNAs in diseases (4 papers), Knee injuries and reconstruction techniques (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Developmental Neuroscience (231 citations), Cancer Research (507 citations), Molecular Biology (1.5k citations), Aging (35 citations) and Rheumatology (296 citations). Ming‐Ming Jiang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yuh Nung Jan, Lily Yeh Jan, Weimin Zhong, John N. Feder, Annmarie Surprenant, Gerry Weinmaster, Merry Z. C. Ruan, Terry Bertin, Brendan H. L. Lee and Brian Dawson. Their work appears in journals such as Human Molecular Genetics, Osteoarthritis and Cartilage, Proceedings of the National Academy of Sciences, Molecular Genetics and Metabolism and Journal of Cancer Research and Clinical Oncology.

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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