Zhaodan Cao

10.2k citations
29 papers · 8.4k indexed · 6 hit papers · h-index 18
Topics
Immune Response and Inflammation (15 papers)NF-κB Signaling Pathways (15 papers)interferon and immune responses (7 papers)
Partner nations
United StatesIraqCanada

In The Last Decade

Zhaodan Cao

29 papers receiving 8.2k citations

Hit Papers

TRAF6 is a signal transducer for interleukin-11996202620062016199619971997199919972505007501000

Peers

Zhaodan Cao
Comparison fields: 5 of 120
  • Immunology 5.6k
  • Cancer Research 4.6k
  • Molecular Biology 3.5k
  • Oncology 1.6k
  • Epidemiology 553
Replace Jun Ninomiya‐Tsuji with:
Jun Ninomiya‐Tsuji Japan
Mike Rothe United States
Mireille Delhase United States
Hiroyasu Nakano Japan
Qiutang Li United States
Daniel Krappmann Germany
William C. Sha United States
Hailing Hsu United States
Frank Mercurio United States
Michelle A. Kelliher United States
Zhaodan Cao relative to Jun Ninomiya‐Tsuji Japan Jun Ninomiya‐Tsuji's profile →
Citations per field
00.5×1.5×
Jun Ninomiya‐Tsuji · 1×
Citations per year

Countries citing papers authored by Zhaodan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Zhaodan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaodan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaodan Cao. A scholar is included among the top collaborators of Zhaodan Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhaodan Cao. Zhaodan Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 42
2 6
3 42
4 57
5 2
6 22
7 198
8
The kinase TAK1 can activate the NIK-IκB as well as the MAP kinase cascade in the IL-1 signalling pathwaybreakdown →
1025
9 355
10 235
11
Identification and Characterization of an IκB Kinasebreakdown →
1055
12
MyD88: An Adapter That Recruits IRAK to the IL-1 Receptor Complexbreakdown →
944
13
TRAF6 is a signal transducer for interleukin-1breakdown →
1138
14
IRAK: A Kinase Associated with the Interleukin-1 Receptorbreakdown →
764
15 154
16 15
17 10
18 16
19 2
20 14

About Zhaodan Cao

Zhaodan Cao is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 29 papers that have together received 8.4k indexed citations. Recurring topics across this work include Immune Response and Inflammation (15 papers), NF-κB Signaling Pathways (15 papers) and interferon and immune responses (7 papers). The work is most often cited by research in Cancer Research (4.6k citations), Immunology (5.6k citations) and Oncology (1.6k citations). Zhaodan Cao has collaborated with scholars based in United States, Iraq and Canada. Frequent co-authors include David V. Goeddel, Xiong Gao, William J. Henzel, Mike Rothe, Holger Wesche, Shyun Li, Masahiro Takeuchi, Takeshi Kurama, Jessie Xiong and John Woronicz. 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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