Wenjing Ding

767 citations
22 papers · 545 · h-index 11

Impact in

Papers in

Wenjing Ding

20 papers receiving 531 citations

Peers

Wenjing Ding
Comparison fields: 5 of 82
  • Obstetrics and Gynecology 142
  • Rehabilitation 32
  • Physiology 110
  • Orthopedics and Sports Medicine 31
  • Cell Biology 63
Replace Chi Cho with:
Chi Cho United States
Qinggang Wang Canada
Dorota Raczkiewicz Poland
Elizabeth Thompson United States
Yolanda Gutiérrez Spain
Tuire Salonurmi Finland
Ji‐Hyun Kim South Korea
Mika Matsuzaki United States
Matthew Green United Kingdom
Yuan Yang China
Wenjing Ding relative to Chi Cho United States Chi Cho's profile →
Citations per field
00.5×5.7×
Chi Cho · 1×
Citations per year

Countries citing papers authored by Wenjing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Wenjing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999214
2 201880
3 201946
4 202134
5 202233
6 201931
7 201721
8 201817
9 201912
10 202111
11 202311
12 20209
13 20217
14 20186
15 20215
16 20173
17 20232
18 20201
19 20251
20 20251

About Wenjing Ding

Wenjing Ding is a scholar working on Obstetrics and Gynecology, Molecular Biology, Public Health, Environmental and Occupational Health, Hematology and Physiology, having authored 22 papers that have together received 545 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (5 papers), Acute Myeloid Leukemia Research (2 papers), Muscle metabolism and nutrition (1 paper), Epigenetics and DNA Methylation (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Pregnancy-related medical research (1 paper), Muscle Physiology and Disorders (1 paper) and Innovation and Knowledge Management (1 paper). The work is most often cited by research in Obstetrics and Gynecology (142 citations), Rehabilitation (32 citations), Physiology (110 citations), Orthopedics and Sports Medicine (31 citations) and Cell Biology (63 citations). Wenjing Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Thomas Manfredi, Karen M. Clements, Maria A. Fiatarone Singh, Nancy Ryan, Roger A. Fielding, William J. Evans, Joseph J. Kehayias, Wai‐Kit Ming, Yanxin Wu and Haitian Chen. Their work appears in journals such as Journal of Diabetes Investigation, Health and Quality of Life Outcomes, BMC Pregnancy and Childbirth, Frontiers in Physiology and Journal of Hospitality and Tourism Technology.

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.

Explore authors with similar magnitude of impact