Ling Han

440 citations
25 papers · 348 · h-index 9

Impact in

Papers in

Ling Han

23 papers receiving 341 citations

Peers

Ling Han
Comparison fields: 5 of 75
  • Cellular and Molecular Neuroscience 72
  • Toxicology 13
  • Obstetrics and Gynecology 26
  • Pharmacology 32
  • Reproductive Medicine 20
Replace Bagher Pourheydar with:
Bagher Pourheydar Iran
Türker Çavuşoğlu Türkiye
Pritam Sinharoy United States
Shukun Jiang China
Shahram Ejtemaei‐Mehr Iran
Xiaoyan Tian China
Hannes Reuter Germany
Chengjun Zhao China
Chao Luo China
Mansour Haddad Jordan
Ling Han relative to Bagher Pourheydar Iran Bagher Pourheydar's profile →
Citations per field
00.5×8.7×
Bagher Pourheydar · 1×
Citations per year

Countries citing papers authored by Ling Han

Since Specialization
Citations

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

Fields of papers citing papers by Ling Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201286
2 201047
3 201540
4 201639
5 201430
6 201624
7 202120
8 201415
9 201213
10 20136
11 20225
12 20144
13 20253
14 20243
15
[Regulation effects of liuwei dihuang pill, jingui shenqi pill, jiangu erxian pill containing serums on adipogenic and osteogenic differentiation-related genes expressions in the differentiation process of preadipocytes to osteoblasts].
20133
16 20232
17 20242
18 20221
19 20241
20
[Early prediction of acute kidney injury in infants and young children after cardiopulmonary bypass surgery].
20131

About Ling Han

Ling Han is a scholar working on Cellular and Molecular Neuroscience, Neurology, Surgery, Nephrology and Social Psychology, having authored 25 papers that have together received 348 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (2 papers), Neuroendocrine regulation and behavior (2 papers), Minimally Invasive Surgical Techniques (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Neurological disorders and treatments (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (72 citations), Toxicology (13 citations), Obstetrics and Gynecology (26 citations), Pharmacology (32 citations) and Reproductive Medicine (20 citations). Ling Han has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Wang He, Wenming Xu, Hui Zhang, Nan Wu, Nan Li, Zengjun Guo, Dongfang Li, Christian Hölscher, Guofang Xue and Guanglai Li. Their work appears in journals such as BMC Women s Health, Experimental Eye Research, Neuroreport, British Journal of Dermatology and Neuroscience.

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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