Siwen Wang

108 papers receiving 1.9k citations

Siwen Wang's Hit Papers

Bridging the complexity gap in computational heterogeneous catalysis with machine learning 2023 · 165 citations
1650+1+2Years since publication50100150200

Peers

Siwen Wang
Comparison fields: 5 of 165
  • Obstetrics and Gynecology 285
  • Reproductive Medicine 249
  • Neurology 197
  • Electrochemistry 70
  • Immunology 241
Replace Shixuan Wang with:
Shixuan Wang China
Narufumi Suganuma Japan
Lihong Qi United States
Yajie Li China
Nan Li China
Antonio Pietroiusti Italy
John A. Harris United States
Qian Chen China
Takashi Kawahara Japan
Ahmed M. Abbas Egypt
Siwen Wang relative to Shixuan Wang China Shixuan Wang's profile →
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Countries citing papers authored by Siwen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Siwen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Associations of Depression, Anxiety, Worry, Perceived Stress, and Loneliness Prior to Infection With Risk of Post–COVID-19 Conditions
Hit paper breakdown →
2022224
2
Bridging the complexity gap in computational heterogeneous catalysis with machine learning
Hit paper breakdown →
2023165
3 2012113
4
Barcoded sequencing reveals diverse intrauterine microbiomes in patients suffering with endometrial polyps.
2016111
5 2011109
6 202290
7 201879
8 202055
9 202247
10 202242
11 202342
12 202040
13
Human bone marrow fibroblast colony-forming units (CFU-F).
198440
14 202136
15 202335
16 201434
17 201732
18 202326
19 202226
20 199925

About Siwen Wang

Siwen Wang is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 117 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ovarian function and disorders (12 papers), Endometriosis Research and Treatment (9 papers), Assisted Reproductive Technology and Twin Pregnancy (9 papers), Reproductive System and Pregnancy (8 papers), Reproductive Health and Technologies (8 papers), Birth, Development, and Health (7 papers), Pregnancy and preeclampsia studies (7 papers) and Reproductive Biology and Fertility (6 papers). The work is most often cited by research in Obstetrics and Gynecology (285 citations), Reproductive Medicine (249 citations), Neurology (197 citations), Electrochemistry (70 citations) and Immunology (241 citations). Siwen Wang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jorge E. Chavarro, Dan Zhang, Xueming Chen, Jae H. Kang, Andrea L. Roberts, Xiaohang Ye, Janet W. Rich‐Edwards, Laura D. Kubzansky, Karestan C. Koenen and Marc G. Weisskopf. Their work appears in journals such as JAMA Network Open, American Journal of Obstetrics and Gynecology, Fertility and Sterility, Forensic Science International Genetics and Frontiers in Endocrinology.

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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