Hua Ren

4.2k citations
137 papers · 2.7k indexed · 1 hit paper · h-index 27

Impact in

  • Physiology top 1%
    • Adenosine and Purinergic Signaling
  • Oncology top 5%
    • Viral-associated cancers and disorders
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

Hua Ren

131 papers receiving 2.6k citations

Hit Papers

Platelet‐to‐lymphocyte ratio is associated with prognosis in patients with coronavirus disease‐19 2020 · 417 citations
4172020202620222024100200300400

Peers

Hua Ren
Comparison fields: 5 of 141
  • Physiology 256
  • Oncology 806
  • Infectious Diseases 441
  • Immunology 437
  • Neurology 277
Replace Christoph Daniel with:
Christoph Daniel Germany
Aurélie Fabre Ireland
Junichi Nishimura Japan
Henri H. Versteeg Netherlands
Matthias Pauschinger Germany
Uwe Kühl Germany
Michel Noutsias Germany
David S. Snyder United States
Wolfgang Poller Germany
Martin Braddock United Kingdom
Hua Ren relative to Christoph Daniel Germany Christoph Daniel's profile →
Citations per field
00.5×4.8×
Christoph Daniel · 1×
Citations per year

Countries citing papers authored by Hua Ren

Since Specialization
Citations

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

Fields of papers citing papers by Hua Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202227
3 202148
4 202117
5 202011
6 2018132
7 20171
8 20179
9 20171
10 20172
11 20168
12 20151
13 201511
14 20131
15
REE Geochemical Characteristics and Provenance Analysis of Dafengshan Celestite Deposit,Qinghai Province
20131
16 20132
17 20121
18 20111
19
On the Dynamic Traffic Assignment Model
20031
20
Pleural plaques do not predict asbestosis: high-resolution computed tomography and pathology study.
199112

About Hua Ren

Hua Ren is a scholar working on Physiology, Pathology and Forensic Medicine, Oncology, Cancer Research and Immunology, having authored 137 papers that have together received 2.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (16 papers), Lymphoma Diagnosis and Treatment (15 papers), Adenosine and Purinergic Signaling (13 papers), Colorectal Cancer Surgical Treatments (12 papers), Colorectal and Anal Carcinomas (12 papers), Breast Lesions and Carcinomas (12 papers), Advanced Radiotherapy Techniques (9 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Physiology (256 citations), Oncology (806 citations), Infectious Diseases (441 citations), Immunology (437 citations) and Neurology (277 citations). Hua Ren has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Min Qian, Bing Du, Mingyao Liu, Hui Fang, Ye‐Xiong Li, Shulian Wang, Weihu Wang, Liya Wei, Xiao Chen and Yun Ling. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Oncotarget, The Journal of Immunology, Immunology and Nature Communications.

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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