Jipeng Wan

656 citations
28 papers · 480 · h-index 13

Impact in

    • Pregnancy and preeclampsia studies
    • Gestational Diabetes Research and Management
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Jipeng Wan

27 papers receiving 476 citations

Peers

Jipeng Wan
Comparison fields: 5 of 76
  • Obstetrics and Gynecology 121
  • Cancer Research 105
  • Reproductive Medicine 53
  • Geriatrics and Gerontology 13
  • Pediatrics, Perinatology and Child Health 45
Replace Zaid Al-Wahab with:
Zaid Al-Wahab United States
Mira Park South Korea
Fangxu Tang China
Yifei Gao China
Wenxiao Jiang China
Amir Valizadeh Iran
Ryo Seishima Japan
Jipeng Wan relative to Zaid Al-Wahab United States Zaid Al-Wahab's profile →
Citations per field
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Zaid Al-Wahab · 1×
Citations per year

Countries citing papers authored by Jipeng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jipeng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 201956
3 201942
4 201839
5 202333
6 201829
7 202228
8 202227
9 202122
10 202220
11 202216
12 202413
13 201413
14 201312
15 20249
16 20199
17 20177
18 20187
19 20196
20 20205

About Jipeng Wan

Jipeng Wan is a scholar working on Obstetrics and Gynecology, Immunology, Biomedical Engineering, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 480 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Nanoplatforms for cancer theranostics (6 papers), Reproductive System and Pregnancy (5 papers), Birth, Development, and Health (4 papers), Endometriosis Research and Treatment (3 papers), Advanced Nanomaterials in Catalysis (3 papers), MicroRNA in disease regulation (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Obstetrics and Gynecology (121 citations), Cancer Research (105 citations), Reproductive Medicine (53 citations), Geriatrics and Gerontology (13 citations) and Pediatrics, Perinatology and Child Health (45 citations). Jipeng Wan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hongyan Li, Xiao Sun, Changzhong Li, Jian Ding, Mingjiang Li, Yanyun Wang, Yuan Gao, Lei Li, Xietong Wang and Lei Li. Their work appears in journals such as Cancer Letters, Reproductive Sciences, Frontiers in Endocrinology, Advanced Science and Medicine.

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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