Lijun Ding

4.1k citations
75 papers · 2.5k · h-index 26

Impact in

Papers in

Lijun Ding

71 papers receiving 2.5k citations

Peers

Lijun Ding
Comparison fields: 5 of 99
  • Obstetrics and Gynecology 563
  • Reproductive Medicine 619
  • Immunology 702
  • Cancer Research 299
  • Public Health, Environmental and Occupational Health 471
Replace Keiichi Isaka with:
Keiichi Isaka Japan
Sarah Berndt Belgium
Yongdong Dai China
Deepa Bhartiya India
Qiwei Yang United States
Kazuo Asanoma Japan
Jean Lu Taiwan
Yinyan He China
Antonio Díez‐Juan Spain
Maureen P. Lynch United States
Lijun Ding relative to Keiichi Isaka Japan Keiichi Isaka's profile →
Citations per field
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Keiichi Isaka · 1×
Citations per year

Countries citing papers authored by Lijun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012314
2 2018199
3 2014188
4 2017130
5 2017110
6 2013109
7 2016109
8 2013104
9 201474
10 201962
11 201352
12 201950
13 201944
14 201544
15 201744
16 201642
17 201741
18 201840
19 201139
20 201933

About Lijun Ding

Lijun Ding is a scholar working on Immunology, Molecular Biology, Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (24 papers), Reproductive Biology and Fertility (12 papers), Endometriosis Research and Treatment (9 papers), MicroRNA in disease regulation (7 papers), Gynecological conditions and treatments (6 papers), Uterine Myomas and Treatments (6 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Kruppel-like factors research (5 papers). The work is most often cited by research in Obstetrics and Gynecology (563 citations), Reproductive Medicine (619 citations), Immunology (702 citations), Cancer Research (299 citations) and Public Health, Environmental and Occupational Health (471 citations). Lijun Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haixiang Sun, Yali Hu, Guijun Yan, Jianwu Dai, Yue Jiang, Xin’an Li, Tianran Song, David M. Virshup, Babita Madan and Kyle David Proffitt. Their work appears in journals such as Reproductive Biology and Endocrinology, Stem Cell Research & Therapy, Biology of Reproduction, PLoS ONE and Cell Death Discovery.

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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