Mai He

1.6k citations
82 papers · 1.0k indexed · h-index 17

Mai He

76 papers receiving 1.0k citations

Peers

Mai He
Comparison fields: 5 of 111
  • Obstetrics and Gynecology 275
  • Pediatrics, Perinatology and Child Health 158
  • Endocrine and Autonomic Systems 53
  • Pulmonary and Respiratory Medicine 241
  • Oncology 190
Replace Zhonghui Xu with:
Zhonghui Xu United States
Min‐Min Chou Taiwan
Tuulikki Nyman Finland
René Thieme Germany
Krystyna Gałązka Poland
G. Hallmans Sweden
R. Weslie Tyson United States
Ryoko Minekawa Japan
Jerome F. Strauss United States
Alper Uzun United States
Mai He relative to Zhonghui Xu United States Zhonghui Xu's profile →
Citations per field
00.5×5.3×
Zhonghui Xu · 1×
Citations per year

Countries citing papers authored by Mai He

Since Specialization
Citations

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

Fields of papers citing papers by Mai He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20240
5 20242
6 20231
7 20227
8 202110
9
Potential Benefits of Falun Gong Practice in COVID-19 Pandemic
20211
10 20213
11 202147
12 20205
13 20185
14 201617
15 20167
16 201310
17 201315
18 2011109
19 201015
20 200610

About Mai He

Mai He is a scholar working on Obstetrics and Gynecology, Transplantation, Genetics, Modeling and Simulation and Hepatology, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (12 papers), Sarcoma Diagnosis and Treatment (7 papers), Gestational Diabetes Research and Management (5 papers), Genetic Syndromes and Imprinting (4 papers), Soft tissue tumor case studies (4 papers), Birth, Development, and Health (4 papers), Tumors and Oncological Cases (4 papers) and Chromatin Remodeling and Cancer (3 papers). The work is most often cited by research in Obstetrics and Gynecology (275 citations), Pediatrics, Perinatology and Child Health (158 citations), Endocrine and Autonomic Systems (53 citations), Pulmonary and Respiratory Medicine (241 citations) and Oncology (190 citations). Mai He has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Lawrence E. Harrison, J. Patrick O’Connor, Timir Tripathi, Fei Chen, Halit Pınar, Ghada Bourjeily, Louis P. Dehner, Stefan Kostadinov, Füsun Gündoğan and Maria E. Arcila. Their work appears in journals such as Pediatric and Developmental Pathology, Applied immunohistochemistry & molecular morphology, International Journal of Gynecological Cancer, Blood and Placenta.

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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