Kebin Hu

1.6k citations
34 papers · 1.3k · h-index 22

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Protease and Inhibitor Mechanisms
    • MicroRNA in disease regulation

Papers in

Kebin Hu

34 papers receiving 1.3k citations

Peers

Kebin Hu
Comparison fields: 5 of 113
  • Nephrology 171
  • Cancer Research 346
  • Hematology 129
  • Immunology and Allergy 68
  • Molecular Biology 580
Replace Erik I. Christensen with:
Erik I. Christensen Denmark
Valentina Câmpean Germany
Brigitte Lelongt France
Yujiro Kida Japan
Hai Tao Yuan United Kingdom
Jessica M. Overstreet United States
Kiyotaka Nagahama Japan
Miguel Pericacho Spain
Mingchao Zhang China
Martin Weger Austria
Kebin Hu relative to Erik I. Christensen Denmark Erik I. Christensen's profile →
Citations per field
00.5×1.5×2.4×
Erik I. Christensen · 1×
Citations per year

Countries citing papers authored by Kebin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Kebin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005170
2 2005106
3 2007101
4 201788
5 201863
6 200860
7 201658
8 202057
9 201254
10 201652
11 201741
12 201440
13 200538
14
Tissue plasminogen activator and inflammation: from phenotype to signaling mechanisms.
201438
15 202136
16 201635
17 200834
18 201733
19 201028
20 201527

About Kebin Hu

Kebin Hu is a scholar working on Molecular Biology, Cancer Research, Nephrology, Pulmonary and Respiratory Medicine and Hematology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (8 papers), Protease and Inhibitor Mechanisms (7 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), MicroRNA in disease regulation (4 papers), S100 Proteins and Annexins (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Neonatal Respiratory Health Research (3 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Nephrology (171 citations), Cancer Research (346 citations), Hematology (129 citations), Immunology and Allergy (68 citations) and Molecular Biology (580 citations). Kebin Hu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Ling Lin, Youhua Liu, Wendy M. Mars, Chuanyue Wu, Junwei Yang, Sakae Tanaka, Xiaodong Han, Zou Xiang, Steven L. Gonias and Yingjian Li. Their work appears in journals such as International Journal of Molecular Sciences, Journal of the American Society of Nephrology, Journal of Biological Chemistry, American Journal Of Pathology and Scientific Reports.

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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