Haidan Chen

32 papers receiving 736 citations

Peers

Haidan Chen
Comparison fields: 5 of 53
  • Molecular Biology 220
  • Hepatology 29
  • Immunology 50
  • Public Health, Environmental and Occupational Health 82
  • Pharmacology 20
Replace Xiaowu Pang with:
Xiaowu Pang United States
Zhenjian He China
Shusaku Mizukami Japan
Dibyabhaba Pradhan India
Wen‐Chi Su Taiwan
Ebrahim Faghihloo Iran
Eun Ji Joo United States
Mostafa Haji Molla Hoseini Iran
Huipeng Chen China
Tabish Qidwai India
Haidan Chen relative to Xiaowu Pang United States Xiaowu Pang's profile →
Citations per field
00.5×2×3×4×4.8×
Xiaowu Pang · 1×
Citations per year

Countries citing papers authored by Haidan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haidan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016179
2 200991
3 201258
4 202350
5 201147
6 200944
7 201439
8 200736
9 201133
10 200926
11 200522
12 201317
13 201616
14 201115
15 201312
16 202510
17 20109
18 20259
19 20128
20 20227

About Haidan Chen

Haidan Chen is a scholar working on Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Hepatology, Molecular Biology and Immunology, having authored 38 papers that have together received 756 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (5 papers), Ethics in Clinical Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Hepatitis C virus research (2 papers), Spinal Fractures and Fixation Techniques (2 papers), Immune cells in cancer (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Molecular Biology (220 citations), Hepatology (29 citations), Immunology (50 citations), Public Health, Environmental and Occupational Health (82 citations) and Pharmacology (20 citations). Haidan Chen has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Xiao‐Lian Zhang, Huili Cai, Hongwei Zhao, Yu Zeng, Tikki Pang, Dongqing Li, Herbert Gottweis, Johannes Starkbaum, Yunfeng Ma and Qilong Wang. Their work appears in journals such as Clinical and investigative medicine, International Journal of Nanomedicine, Science Technology and Society, Infection and Drug Resistance and European Journal of Immunology.

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.

Explore authors with similar magnitude of impact