Kan Cao

4.8k citations
50 papers · 3.3k indexed · h-index 28

Impact in

Papers in

    • Nuclear Structure and Function 32
    • RNA Research and Splicing 22
    • DNA Repair Mechanisms 10
    • Genomics and Chromatin Dynamics 9
    • Mitochondrial Function and Pathology 5
    • Ubiquitin and proteasome pathways 5

Kan Cao

49 papers receiving 3.3k citations

Peers

Kan Cao
Comparison fields: 5 of 119
  • Aging 158
  • Cell Biology 761
  • Molecular Biology 2.7k
  • Physiology 334
  • Oncology 343
Replace Olivier Pluquet with:
Olivier Pluquet France
Roman L. Bogorad United States
Nikolay Nikolsky Russia
Yu‐Sheng Cong China
Salah Mahmoudi United States
Gretchen H. Stein United States
Xiaojun Zhu China
Pasqualina Colella Italy
Yun‐Sil Lee South Korea
Martin Fischer Germany
Kan Cao relative to Olivier Pluquet France Olivier Pluquet's profile →
Citations per field
00.5×1.5×2.2×
Olivier Pluquet · 1×
Citations per year

Countries citing papers authored by Kan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Kan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010308
2 2003286
3 2011277
4 2012239
5 2011233
6 2007198
7 2005196
8 2003168
9 2008160
10 201796
11 200094
12 201588
13 201785
14 201479
15 202073
16 201268
17 201254
18 202153
19 201246
20 201844

About Kan Cao

Kan Cao is a scholar working on Molecular Biology, Aging, Cell Biology, Pollution and Dermatology, having authored 50 papers that have together received 3.3k indexed citations. Recurring topics across this work include Nuclear Structure and Function (32 papers), RNA Research and Splicing (22 papers), DNA Repair Mechanisms (10 papers), Genomics and Chromatin Dynamics (9 papers), Microtubule and mitosis dynamics (8 papers), PARP inhibition in cancer therapy (5 papers), Mitochondrial Function and Pathology (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Aging (158 citations), Cell Biology (761 citations), Molecular Biology (2.7k citations), Physiology (334 citations) and Oncology (343 citations). Kan Cao has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Francis S. Collins, Michael R. Erdos, Haoyue Zhang, Yixian Zheng, Zheng‐Mei Xiong, John J. Graziotto, Dimitri Krainc, Karima Djabali, Yixian Zheng and Elizabeth G. Nabel. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Aging Cell, Aging and Nucleus.

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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