Stephen Keller

67 papers receiving 2.1k citations

Stephen Keller's Hit Papers

Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurement 2006 · 548 citations
5480+6+13Years since publication100200300400500

Peers

Stephen Keller
Comparison fields: 5 of 153
  • Radiology, Nuclear Medicine and Imaging 482
  • Immunology 445
  • Biotechnology 143
  • Molecular Biology 895
  • Cancer Research 175
Replace J. Watkins with:
J. Watkins United Kingdom
Barry Cherney United States
Philip Furmanski United States
James M. Croop United States
E. A. Mirand United States
R. C. Nairn Australia
J. Fürth United States
E. Regoeczi Canada
Meenu Wadhwa United Kingdom
Giuseppe Tridente Italy
Stephen Keller relative to J. Watkins United Kingdom J. Watkins's profile →
Citations per field
00.5×3.3×
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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 68 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 →
2006548
2 2006229
3 2004223
4 198089
5 196082
6 196474
7
Analysis of elastin cross-linking and the connective tissue matrix of abdominal aortic aneurysms.
199463
8 198758
9 198042
10 196341
11 199540
12 197339
13 197138
14 199436
15 196936
16 198335
17 196233
18 197230
19 197230
20 196929

About Stephen Keller

Stephen Keller is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Biotechnology and Immunology, having authored 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Connective tissue disorders research (15 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), Protein purification and stability (4 papers) and Elasticity and Material Modeling (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (482 citations), Immunology (445 citations), Biotechnology (143 citations), Molecular Biology (895 citations) and Cancer Research (175 citations). Stephen Keller has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Ines Mandl, Joseph M. Cerreta, Gerard M. Turino, Naoya Tsurushita, Meina Tang, Richard J. Block, Paul R. Hinton, Mary G. Johlfs, Jerome Cantor and Ralph R. Meyer. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications, Experimental Biology and Medicine, 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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