Han Ding

40 papers receiving 339 citations

Peers

Han Ding
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 81
  • Developmental Neuroscience 11
  • Genetics 27
  • Critical Care and Intensive Care Medicine 11
  • Anesthesiology and Pain Medicine 11
Replace Elsa Magro with:
Elsa Magro France
Salih Gülşen Türkiye
Florian Ebner Germany
Ági Güresir Germany
Ronald W. Hargraves United States
Margaret L. Jackson United States
Alex Cale United Kingdom
Gilbert Cadena United States
William H. Shuman United States
Moinay Kim South Korea
Han Ding relative to Elsa Magro France Elsa Magro's profile →
Citations per field
00.5×
Elsa Magro · 1×
Citations per year

Countries citing papers authored by Han Ding

Since Specialization
Citations

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

Fields of papers citing papers by Han Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202327
2 202325
3 201923
4 202122
5 202019
6 202017
7 201616
8 202014
9 201714
10 202113
11 201712
12 201912
13 20228
14 20218
15 20188
16 20217
17 20167
18 20227
19 20167
20 20217

About Han Ding

Han Ding is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology and Neurology, having authored 46 papers that have together received 343 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (10 papers), Hemodynamic Monitoring and Therapy (8 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Meningioma and schwannoma management (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Anesthesia and Sedative Agents (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (81 citations), Developmental Neuroscience (11 citations), Genetics (27 citations), Critical Care and Intensive Care Medicine (11 citations) and Anesthesiology and Pain Medicine (11 citations). Han Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shiqing Feng, Tao Hong, Zhijian Wei, Bin Tang, Yi Luo, Hengxing Zhou, Yuqiang Wang, Xiaohua Wang, Jie Ren and Junjin Li. Their work appears in journals such as Neurosurgical Review, Journal of PeriAnesthesia Nursing, Frontiers in Oncology, Journal of Cardiothoracic and Vascular Anesthesia 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.

Explore authors with similar magnitude of impact