Lin Han

3.2k citations
53 papers · 2.4k · 2 hit papers · h-index 17

Impact in

Papers in

Lin Han

49 papers receiving 2.4k citations

Lin Han's Hit Papers

A Role for Uric Acid in the Progression of Renal Disease 2002 · 1.1k citations
1.1k0+8+16Years since publication2505007501000

Peers

Lin Han
Comparison fields: 5 of 115
  • Nephrology 1.5k
  • Pathology and Forensic Medicine 471
  • Rheumatology 157
  • Endocrinology, Diabetes and Metabolism 174
  • Internal Medicine 30
Replace Lan Ni with:
Lan Ni United Kingdom
Monica De Metrio Italy
Hui Huang China
Xiao‐Ru Huang Hong Kong
Paola Pontrelli Italy
Ryuji Ohashi Japan
Brian F. Mandell United States
Ting He China
Jianghua Chen China
Lin Han relative to Lan Ni United Kingdom Lan Ni's profile →
Citations per field
00.5×1.5×2.0×
Lan Ni · 1×
Citations per year

Countries citing papers authored by Lin Han

Since Specialization
Citations

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

Fields of papers citing papers by Lin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Role for Uric Acid in the Progression of Renal Disease
Hit paper breakdown →
20021081
2
Hyperuricemia induces a primary renal arteriolopathy in rats by a blood pressure-independent mechanism
Hit paper breakdown →
2002655
3 2005190
4 202058
5 202140
6 202139
7 201036
8 201627
9 201226
10 200922
11 201322
12 201621
13 201719
14 202118
15 201717
16 201217
17 201416
18 201814
19 200213
20 200912

About Lin Han

Lin Han is a scholar working on Molecular Biology, Computer Networks and Communications, Surgery, Neurology and Hardware and Architecture, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (5 papers), Neurological Disease Mechanisms and Treatments (5 papers), Advanced Data Storage Technologies (5 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Glioma Diagnosis and Treatment (4 papers), Ginkgo biloba and Cashew Applications (3 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Nephrology (1.5k citations), Pathology and Forensic Medicine (471 citations), Rheumatology (157 citations), Endocrinology, Diabetes and Metabolism (174 citations) and Internal Medicine (30 citations). Lin Han has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lili Feng, Takahiko Nakagawa, Susumu Watanabe, Richard J. Johnson, Duk‐Hee Kang, Marilda Mazzali, Luan D. Truong, Raymond C. Harris, John Kanellis and Hui Y. Lan. Their work appears in journals such as Acta Neurochirurgica, World Neurosurgery, Cancer Letters, Journal of Neuro-Oncology and American Journal of Nephrology.

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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