Cliff J. Luke

3.8k citations
53 papers · 2.9k indexed · 1 hit paper · h-index 25
Topics
Genetics, Aging, and Longevity in Model Organisms (18 papers)Protease and Inhibitor Mechanisms (16 papers)Peptidase Inhibition and Analysis (5 papers)

In The Last Decade

Cliff J. Luke

52 papers receiving 2.9k citations

Hit Papers

The Serpins Are an Expanding Superfamily of Structurally ...200120262009201720012505007501000

Peers

Cliff J. Luke
Comparison fields: 5 of 115
  • Molecular Biology 1.1k
  • Cancer Research 825
  • Immunology 456
  • Cell Biology 388
  • Aging 377
Replace Gary A. Silverman with:
Gary A. Silverman United States
Jun Yasuda Japan
Beverly A. Mock United States
Hiroko Kozuka‐Hata Japan
Masaaki Oyama Japan
Esther Caparrós Spain
Nicholas Harris United States
Mariola J. Edelmann United States
Tommy Alain Canada
Eric Spooner United States
Cliff J. Luke relative to Gary A. Silverman United States Gary A. Silverman's profile →
Citations per field
00.5×1.5×
Gary A. Silverman · 1×
Citations per year

Countries citing papers authored by Cliff J. Luke

Since Specialization
Citations

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

Fields of papers citing papers by Cliff J. Luke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cliff J. Luke. 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 Cliff J. Luke. The network helps show where Cliff J. Luke may publish in the future.

Co-authorship network of co-authors of Cliff J. Luke

This figure shows the co-authorship network connecting the top 25 collaborators of Cliff J. Luke. A scholar is included among the top collaborators of Cliff J. Luke 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 Cliff J. Luke. Cliff J. Luke 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 21
2 7
3 18
4 40
5 17
6 12
7 55
8 15
9 1
10 3
11 24
12 7
13 192
14 6
15 126
16 27
17 150
18 35
19 43
20 63

About Cliff J. Luke

Cliff J. Luke is a scholar working on Aging, Cancer Research and Cell Biology, having authored 53 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (18 papers), Protease and Inhibitor Mechanisms (16 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Aging (377 citations), Cancer Research (825 citations) and Hematology (370 citations). Cliff J. Luke has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Gary A. Silverman, Stephen C. Pak, James C. Whisstock, Phillip I. Bird, James A. Irving, Paul Coughlin, Eileen Remold‐O’Donnell, Richard W. Moyer, Peter G.W. Gettins and Guy S. Salvesen. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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