Keefe T. Chan

2.6k citations
25 papers · 1.7k indexed · 1 hit paper · h-index 20
Topics
Cellular Mechanics and Interactions (9 papers)Cell Adhesion Molecules Research (6 papers)Melanoma and MAPK Pathways (3 papers)

In The Last Decade

Keefe T. Chan

23 papers receiving 1.7k citations

Hit Papers

Ribosomal proteins and human diseases: molecular mechanis...2021202620222024202150100150200

Peers

Keefe T. Chan
Comparison fields: 5 of 99
  • Molecular Biology 951
  • Cell Biology 549
  • Oncology 301
  • Immunology and Allergy 287
  • Cancer Research 238
Replace Emilia Turco with:
Emilia Turco Italy
Yoichiro Matsuoka Japan
Mikel Garcia‐Marcos United States
Sandra Iden Germany
Stéphane Ory France
Ingrid Verlaan Netherlands
Kazuhito Toyo‐oka United States
B. Paul Herring United States
Chenran Wang United States
Keefe T. Chan relative to Emilia Turco Italy Emilia Turco's profile →
Citations per field
00.5×1.5×
Emilia Turco · 1×
Citations per year

Countries citing papers authored by Keefe T. Chan

Since Specialization
Citations

This map shows the geographic impact of Keefe T. Chan'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 Keefe T. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keefe T. Chan more than expected).

Fields of papers citing papers by Keefe T. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keefe T. Chan. 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 Keefe T. Chan. The network helps show where Keefe T. Chan may publish in the future.

Co-authorship network of co-authors of Keefe T. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Keefe T. Chan. A scholar is included among the top collaborators of Keefe T. Chan 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 Keefe T. Chan. Keefe T. Chan 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 0
2 62
3 24
4
Ribosomal proteins and human diseases: molecular mechanisms and targeted therapybreakdown →
214
5 28
6 29
7 81
8 47
9 19
10 8
11 79
12 62
13 11
14 96
15 30
16 136
17 171
18 157
19 31
20 57

About Keefe T. Chan

Keefe T. Chan is a scholar working on Immunology and Allergy, Cell Biology and Biophysics, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (9 papers), Cell Adhesion Molecules Research (6 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Immunology and Allergy (287 citations), Cell Biology (549 citations) and Cancer Research (238 citations). Keefe T. Chan has collaborated with scholars based in Australia, United States and Finland. Frequent co-authors include Anna Huttenlocher, Christa L. Cortesio, Richard B. Pearson, Jian Kang, James E. Bear, David A. Bennin, Elaine Sanij, Sarah J. Creed, Jiachen Xuan and Natalie Brajanovski. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Cell Biology.

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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