Defen Wang

521 citations
34 papers · 394 · h-index 12

Impact in

Papers in

Defen Wang

32 papers receiving 372 citations

Peers

Defen Wang
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 70
  • Endocrinology, Diabetes and Metabolism 137
  • Genetics 77
  • Pediatrics, Perinatology and Child Health 53
  • Inorganic Chemistry 37
Replace Gülçin Altínok with:
Gülçin Altínok Türkiye
James R. Woods United States
Marie L. Smith United Kingdom
I. F. Douek United Kingdom
Wanqing Liu United States
Rita Sigüeiro Spain
Sati C. Chattoraj United States
Joshua A. Levine United States
Julianne M. Davis United States
Yukiko Hasegawa Japan
Defen Wang relative to Gülçin Altínok Türkiye Gülçin Altínok's profile →
Citations per field
00.5×2.9×
Gülçin Altínok · 1×
Citations per year

Countries citing papers authored by Defen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Defen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 199044
3 202035
4 201821
5 199621
6 199720
7 201720
8
[Effects of dietary fat on onset of gestational diabetes mellitus].
200618
9 198918
10 199613
11 201612
12 201912
13 199711
14 201311
15 201210
16 20119
17 20159
18 19999
19 20137
20 19947

About Defen Wang

Defen Wang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Electronic, Optical and Magnetic Materials and Oncology, having authored 34 papers that have together received 394 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (8 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Magnetism in coordination complexes (5 papers), Metal complexes synthesis and properties (4 papers), Molecular Sensors and Ion Detection (3 papers), Connective tissue disorders research (2 papers), Hormonal and reproductive studies (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Obstetrics and Gynecology (70 citations), Endocrinology, Diabetes and Metabolism (137 citations), Genetics (77 citations), Pediatrics, Perinatology and Child Health (53 citations) and Inorganic Chemistry (37 citations). Defen Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hao Ying, John A. Phillips, Cindy L. Vnencak‐Jones, Hongwen Hu, Yuping Tang, Yuhong Li, Xueya Cai, Xiujuan Su, Heng Li and Yuan Xiao. Their work appears in journals such as Polyhedron, Clinical Endocrinology, Chemical Communications, Plant Cell Tissue and Organ Culture (PCTOC) and Inorganica Chimica Acta.

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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