Keji Zhao

46.1k citations
238 papers · 33.7k indexed · 14 hit papers · h-index 87
    • Genomics and Chromatin Dynamics 121
    • Epigenetics and DNA Methylation 93
    • RNA modifications and cancer 30
    • RNA Research and Splicing 30
    • Cancer-related gene regulation 25
    • Chromatin Remodeling and Cancer 22
  • Immunology top 0.1%
    • Immune Cell Function and Interaction 42
    • T-cell and B-cell Immunology 25
  • Genetics top 0.2%
  • Aging top 1%

Keji Zhao

231 papers receiving 33.3k citations

Hit Papers

Gut-l...42199820262007201610002.0k3.0k4.0k5.0k

Peers

Keji Zhao
Comparison fields: 5 of 161
  • Molecular Biology 26.4k
  • Immunology 6.9k
  • Cancer Research 3.3k
  • Genetics 3.8k
  • Aging 238
Replace Christopher Benner with:
Christopher Benner United States
Kairong Cui United States
Yoichi Shinkai Japan
Haruhiko Koseki Japan
Cornelis Murre United States
Harald Stenmark Norway
Tarjei S. Mikkelsen United States
Harinder Singh United States
James L. Manley United States
Robert N. Eisenman United States
Keji Zhao relative to Christopher Benner United States Christopher Benner's profile →
Citations per field
00.5×1.5×1.8×
Christopher Benner · 1×
Citations per year

Countries citing papers authored by Keji Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Keji Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20240
3 202315
4 202261
5 202214
6 202122
7 202022
8 20205
9 202040
10 202014
11 201727
12 2017122
13 201764
14 2016151
15 201436
16 201348
17 201272
18 2010115
19 200545
20 20033

About Keji Zhao

Keji Zhao is a scholar working on Immunology, Molecular Biology and Cancer Research, having authored 238 papers that have together received 33.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (121 papers), Epigenetics and DNA Methylation (93 papers), Immune Cell Function and Interaction (42 papers), RNA modifications and cancer (30 papers), RNA Research and Splicing (30 papers), T-cell and B-cell Immunology (25 papers), Cancer-related gene regulation (25 papers) and Chromatin Remodeling and Cancer (22 papers). The work is most often cited by research in Molecular Biology (26.4k citations), Immunology (6.9k citations) and Cancer Research (3.3k citations). Keji Zhao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kairong Cui, Dustin E. Schones, Tae‐Young Roh, Suresh Cuddapah, Gang Wei, Artem Barski, Zhibin Wang, Iouri Chepelev, Weiqun Peng and Chongzhi Zang. Their work appears in journals such as Nature, Science and Cell.

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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