Tingting Wang

8.4k citations
308 papers · 5.4k · h-index 39

Impact in

Papers in

Tingting Wang

297 papers receiving 5.3k citations

Peers

Tingting Wang
Comparison fields: 5 of 175
  • Obstetrics and Gynecology 320
  • Pediatrics, Perinatology and Child Health 473
  • Reproductive Medicine 209
  • Hematology 263
  • Hepatology 170
Replace Krzysztof Safranow with:
Krzysztof Safranow Poland
Mark S. Segal United States
Xiaoping Miao China
Xin Xu China
Jing He China
Maria Luisa Brandi Italy
Jun Zhang China
Jean‐Louis Guéant France
Jie Li China
Nasser M. Al‐Daghri Saudi Arabia
Tingting Wang relative to Krzysztof Safranow Poland Krzysztof Safranow's profile →
Citations per field
00.5×2.7×
Krzysztof Safranow · 1×
Citations per year

Countries citing papers authored by Tingting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 308 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002184
2 2017171
3 2017151
4
Type 1 and type 2 T-cell profiles in idiopathic thrombocytopenic purpura.
2005143
5 2014118
6 2020113
7 2019113
8 2019102
9 201087
10 201884
11 201881
12 202080
13 201873
14 202070
15 202170
16 201167
17 201966
18 201663
19 202063
20 201662

About Tingting Wang

Tingting Wang is a scholar working on Epidemiology, Molecular Biology, Oncology, Surgery and Physiology, having authored 308 papers that have together received 5.4k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (11 papers), Birth, Development, and Health (10 papers), Traditional Chinese Medicine Analysis (9 papers), Pregnancy and preeclampsia studies (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatitis B Virus Studies (6 papers), Platelet Disorders and Treatments (6 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Obstetrics and Gynecology (320 citations), Pediatrics, Perinatology and Child Health (473 citations), Reproductive Medicine (209 citations), Hematology (263 citations) and Hepatology (170 citations). Tingting Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lizhang Chen, Jiabi Qin, Senmao Zhang, Zhanzhan Li, Shaoqiang Huang, Shen Sun, R. Doug McEvoy, Dimitar Sajkov, Alexandra J. Bune and Yang Xu. Their work appears in journals such as Medicine, Frontiers in Pediatrics, PLoS ONE, Frontiers in Cardiovascular Medicine and Frontiers in Public Health.

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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