Stephen Keller

63 papers receiving 1.8k citations

Hit Papers

Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurement 2006 · 504 citations
5042006202620122019100200300400500

Peers

Stephen Keller
Comparison fields: 5 of 134
  • Immunology 438
  • Radiology, Nuclear Medicine and Imaging 462
  • Biotechnology 133
  • Molecular Biology 833
  • Cancer Research 173
Replace Philip Furmanski with:
Philip Furmanski United States
D. Ross Boswell New Zealand
J. S. Rhim United States
Goro Kōsaki Japan
George E. Moore United States
R Whitehead Australia
J. S. Haskill United States
Abraham Mittelman United States
Antonio Nieto Spain
Doug Redelman United States
Stephen Keller relative to Philip Furmanski United States Philip Furmanski's profile →
Citations per field
00.5×2.9×
Philip Furmanski · 1×
Citations per year

Countries citing papers authored by Stephen Keller

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurement
Hit paper breakdown →
2006504
2 2004209
3 2006208
4 198080
5 196465
6
Analysis of elastin cross-linking and the connective tissue matrix of abdominal aortic aneurysms.
199462
7 198752
8 199538
9 197138
10 196338
11 199436
12 196935
13 198033
14 197332
15 198330
16 197228
17 196928
18 196228
19 197227
20 198225

About Stephen Keller

Stephen Keller is a scholar working on Biotechnology, Genetics, Pulmonary and Respiratory Medicine, Virology and Cancer Research, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Connective tissue disorders research (16 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Pleural and Pulmonary Diseases (8 papers), Enzyme Production and Characterization (7 papers), Protease and Inhibitor Mechanisms (6 papers), Neonatal Respiratory Health Research (6 papers), Elasticity and Material Modeling (4 papers) and Occupational and environmental lung diseases (3 papers). The work is most often cited by research in Immunology (438 citations), Radiology, Nuclear Medicine and Imaging (462 citations), Biotechnology (133 citations), Molecular Biology (833 citations) and Cancer Research (173 citations). Stephen Keller has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Ines Mandl, Joseph M. Cerreta, Gerard M. Turino, Mary G. Johlfs, Meina Tang, Paul R. Hinton, Naoya Tsurushita, Jerome Cantor, Ralph R. Meyer and Peter J. O’Brien. Their work appears in journals such as Archives of Biochemistry and Biophysics, Experimental Biology and Medicine, Biochemical and Biophysical Research Communications, American Journal of Obstetrics and Gynecology and Experimental Lung Research.

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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