Linkun Hu

752 citations
37 papers · 538 · h-index 14

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 5%
    • Acute Kidney Injury Research
    • Dialysis and Renal Disease Management

Papers in

Linkun Hu

33 papers receiving 533 citations

Peers

Linkun Hu
Comparison fields: 5 of 83
  • Transplantation 35
  • Nephrology 89
  • Hematology 60
  • Urology 34
  • Immunology 109
Replace Tamás Magyarlaki with:
Tamás Magyarlaki Hungary
Mazen Arar United States
Kinga Musiał Poland
Nathan Susnik Germany
Ruoyun Tan China
Takeshi Fujita Japan
Julie Bellière France
Elif Erkan United States
Neil Lyman United States
Linkun Hu relative to Tamás Magyarlaki Hungary Tamás Magyarlaki's profile →
Citations per field
00.5×5.3×
Tamás Magyarlaki · 1×
Citations per year

Countries citing papers authored by Linkun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Linkun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 201165
3 201350
4 201839
5 201732
6 201225
7 201722
8 200721
9 201221
10 200920
11 200920
12 201418
13 201316
14 202216
15 201713
16 201712
17 201710
18 20219
19 20189
20 20209

About Linkun Hu

Linkun Hu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Immunology, Surgery and Transplantation, having authored 37 papers that have together received 538 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (6 papers), Renal Transplantation Outcomes and Treatments (6 papers), Prostate Cancer Treatment and Research (4 papers), MRI in cancer diagnosis (4 papers), Renal and Vascular Pathologies (4 papers), Immunotherapy and Immune Responses (3 papers), Acute Kidney Injury Research (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Transplantation (35 citations), Nephrology (89 citations), Hematology (60 citations), Urology (34 citations) and Immunology (109 citations). Linkun Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianquan Hou, Ruiming Rong, Cheng Chen, Cheng Yang, Ming Xu, Zhao Tian, Tongyu Zhu, Bin Yang, Xuedong Wei and Sidong Xiong. Their work appears in journals such as Journal of Surgical Research, Experimental Biology and Medicine, Oncotarget, Journal of Endourology and Infection and Drug Resistance.

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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