Xiaolin Han

707 citations
33 papers · 515 · h-index 13

Impact in

Papers in

Xiaolin Han

31 papers receiving 512 citations

Peers

Xiaolin Han
Comparison fields: 5 of 89
  • Geriatrics and Gerontology 19
  • Cellular and Molecular Neuroscience 85
  • Molecular Biology 221
  • Cancer Research 44
  • Insect Science 40
Replace Johannes Delp with:
Johannes Delp Germany
Litao Li China
Sofie Van Kelst Belgium
Oh‐Joo Kwon South Korea
Shiri Procaccia Israel
Ioannis Smyrnias United Kingdom
Qiushi Wang China
Sang‐Youel Park South Korea
Márcia M. Aranha Portugal
Donna Kennedy Ireland
Xiaolin Han relative to Johannes Delp Germany Johannes Delp's profile →
Citations per field
00.5×
Johannes Delp · 1×
Citations per year

Countries citing papers authored by Xiaolin Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 201966
3 201242
4 201640
5 201535
6 201629
7 201724
8 202022
9 201418
10 202116
11 202313
12 202313
13 201812
14 201810
15 20179
16 20159
17 20078
18 20226
19 20076
20 20255

About Xiaolin Han

Xiaolin Han is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Epidemiology, having authored 33 papers that have together received 515 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Mitochondrial Function and Pathology (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Estrogen and related hormone effects (2 papers), Neurobiology and Insect Physiology Research (2 papers), Vitamin D Research Studies (2 papers), Autophagy in Disease and Therapy (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (19 citations), Cellular and Molecular Neuroscience (85 citations), Molecular Biology (221 citations), Cancer Research (44 citations) and Insect Science (40 citations). Xiaolin Han has collaborated with scholars based in China and United States. Frequent co-authors include Xiao‐Fan Zhao, Di Wang, Jin‐Xing Wang, Xin-Le Kang, Caihua Chen, Yuqin Di, Qingsheng Kong, Tanjun Tong, Junying Zhang and Jingdong Li. Their work appears in journals such as International Immunopharmacology, European Journal of Medicinal Chemistry, Molecular Neurobiology, Experimental Hematology and Molecular and Cellular Biochemistry.

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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