Steven E. Dierks
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Cell Adhesion Molecules Research 4
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- J.E. Butler (5 shared papers)Hal B. Richerson (2 shared papers)Daniel H. Conrad (4 shared papers)William C. Bartlett (3 shared papers)J H Peterman (2 shared papers)Hannah J. Gould (1 shared paper)Mark Suter (1 shared paper)Marc J.‐F. Suter (1 shared paper)
- Journals
- Molecular Immunology (3 papers)Current Opinion in Immunology (1 paper)Advances in experimental medicine and biology (1 paper)Veterinary Immunology and Immunopathology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesCzechia
In The Last Decade
Steven E. Dierks
11 papers receiving 399 citations
Peers
Comparison fields: 5 of 74
- Immunology and Allergy 53
- Immunology 152
- Radiology, Nuclear Medicine and Imaging 145
- Animal Science and Zoology 35
- Microbiology 16
Countries citing papers authored by Steven E. Dierks
This map shows the geographic impact of Steven E. Dierks'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 Steven E. Dierks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven E. Dierks more than expected).
Fields of papers citing papers by Steven E. Dierks
This network shows the impact of papers produced by Steven E. Dierks. 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 Steven E. Dierks. The network helps show where Steven E. Dierks may publish in the future.
Co-authors
The 16 scholars most cited alongside Steven E. Dierks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 112 | |
| 2 | 1993 | 87 | |
| 3 | 1986 | 74 | |
| 4 | 1986 | 64 | |
| 5 | The immunochemistry of solid-phase sandwich enzyme-linked immunosorbent assays. | 1987 | 33 |
| 6 | 1985 | 19 | |
| 7 | 1994 | 11 | |
| 8 | 1991 | 9 | |
| 9 | 1985 | 9 | |
| 10 | 1994 | 7 | |
| 11 | 1984 | 2 | |
| 12 | 2024 | 0 |
About Steven E. Dierks
Steven E. Dierks is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Gastroenterology, having authored 12 papers that have together received 427 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Cell Adhesion Molecules Research (4 papers), Protein purification and stability (3 papers), Mast cells and histamine (2 papers), Advanced Biosensing Techniques and Applications (2 papers), T-cell and B-cell Immunology (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Immunology and Allergy (53 citations), Immunology (152 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Animal Science and Zoology (35 citations) and Microbiology (16 citations). Steven E. Dierks has collaborated with scholars based in United States and Czechia. Frequent co-authors include J.E. Butler, Hal B. Richerson, Daniel H. Conrad, William C. Bartlett, J H Peterman, Hannah J. Gould, Mark Suter, Marc J.‐F. Suter, William C. Kopp and Kim Campbell. Their work appears in journals such as Molecular Immunology, Current Opinion in Immunology, Advances in experimental medicine and biology, Veterinary Immunology and Immunopathology and The Journal of Immunology.
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.