Runlin Han

505 citations
16 papers · 410 · h-index 9

Impact in

Papers in

Runlin Han

16 papers receiving 404 citations

Peers

Runlin Han
Comparison fields: 5 of 70
  • Immunology and Allergy 38
  • Infectious Diseases 93
  • Public Health, Environmental and Occupational Health 138
  • Biomaterials 52
  • Microbiology 23
Replace Raj Kumar Verma with:
Raj Kumar Verma India
Kenneth L. Pinkston United States
Agnieszka Banbula United States
Nadine Nippe Germany
Clyde Schultz United States
Carly Dillen United States
Rosendo Lurı́a-Pérez Mexico
Jung‐Chen Lin Taiwan
Sirenia González‐Pozos Mexico
Zachary Cusumano United States
Runlin Han relative to Raj Kumar Verma India Raj Kumar Verma's profile →
Citations per field
00.5×1.5×2.1×
Raj Kumar Verma · 1×
Citations per year

Countries citing papers authored by Runlin Han

Since Specialization
Citations

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

Fields of papers citing papers by Runlin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200668
2 200561
3 200957
4 201053
5 200752
6 200644
7 200923
8 201014
9 20208
10 20158
11 20057
12 20155
13 20144
14 20093
15 20192
16 20211

About Runlin Han

Runlin Han is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, Epidemiology and Surgery, having authored 16 papers that have together received 410 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Neonatal and Maternal Infections (5 papers), Infective Endocarditis Diagnosis and Management (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Immunology and Allergy (38 citations), Infectious Diseases (93 citations), Public Health, Environmental and Occupational Health (138 citations), Biomaterials (52 citations) and Microbiology (23 citations). Runlin Han has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Sławomir Łukomski, Clayton C. Caswell, Ewa Lukomska, Douglas R. Keene, Zhihong Zhao, Antoni Zwiefka, Yi Xu, Magnus Höök, Paweł Ciborowski and Kelley M. Hovis. Their work appears in journals such as Molecular Microbiology, Journal of Molecular Biology, Applied Microbiology and Biotechnology, The Journal of Microbiology and Drug Delivery.

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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