Bian Hu

2.9k citations
30 papers · 1.5k indexed · h-index 17

Impact in

Papers in

    • Cancer-related molecular mechanisms research 4
    • CRISPR and Genetic Engineering 6
    • RNA Interference and Gene Delivery 4
    • Pluripotent Stem Cells Research 3
    • RNA modifications and cancer 3

Bian Hu

28 papers receiving 1.5k citations

Peers

Bian Hu
Comparison fields: 5 of 90
  • Business and International Management 78
  • Aging 51
  • Cancer Research 316
  • Molecular Biology 1.1k
  • Oncology 389
Replace Sander Boymans with:
Sander Boymans Netherlands
Jon P. Connelly United States
Meena Subramaniam United States
Rachel E. Gate United States
S. Kaye Spratt United States
Luisa Albano Italy
Amanda Andersson-Rolf United Kingdom
Seok‐Jin Heo United States
Isabelle Lamrissi‐Garcia France
Dong Woo Song South Korea
Bian Hu relative to Sander Boymans Netherlands Sander Boymans's profile →
Citations per field
00.5×1.5×
Sander Boymans · 1×
Citations per year

Countries citing papers authored by Bian Hu

Since Specialization
Citations

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

Fields of papers citing papers by Bian Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202311
4 202234
5 202131
6 202015
7 2019268
8 201925
9 2018104
10 20181
11 201818
12 201814
13 201737
14 201617
15 201610
16 2015106
17 201565
18 2014138
19 201110
20
Empirical analysis of influence factors on the commercial health insurance's development
20101

About Bian Hu

Bian Hu is a scholar working on Cancer Research, Molecular Biology, Sensory Systems, Immunology and Oncology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (4 papers), Cancer-related molecular mechanisms research (4 papers), CAR-T cell therapy research (4 papers), Reproductive Biology and Fertility (3 papers), Pluripotent Stem Cells Research (3 papers), Immune Cell Function and Interaction (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Business and International Management (78 citations), Aging (51 citations), Cancer Research (316 citations), Molecular Biology (1.1k citations) and Oncology (389 citations). Bian Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xingxu Huang, Bin Shen, Jiankui Zhou, Yinan Du, Fangjun Chen, Zhengyun Zou, Huizi Sha, Fanyan Meng, Juan Du and Shu Su. Their work appears in journals such as Scientific Reports, Cell Death and Disease, Frontiers in Immunology, PLoS ONE and Human Gene Therapy.

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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