Jeffrey R. Weidner
- Molecular Biology top 10%
- Rheumatology top 1%
- Immunology top 5%
- Physiology top 5%
- Cancer Research top 5%
- Co-authors
- Richard A. MumfordMichael W. LarkE K BayneIrwin SingerCarl NathanQ W XieH R WilliamsMatthew J. Kostura
- Topics
- Protease and Inhibitor Mechanisms (6 papers)Computational Drug Discovery Methods (5 papers)Nitric Oxide and Endothelin Effects (4 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Jeffrey R. Weidner
38 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 934
- Rheumatology 638
- Immunology 604
- Physiology 532
- Cancer Research 439
Countries citing papers authored by Jeffrey R. Weidner
This map shows the geographic impact of Jeffrey R. Weidner'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 Jeffrey R. Weidner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey R. Weidner more than expected).
Fields of papers citing papers by Jeffrey R. Weidner
This network shows the impact of papers produced by Jeffrey R. Weidner. 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 Jeffrey R. Weidner. The network helps show where Jeffrey R. Weidner may publish in the future.
Co-authorship network of co-authors of Jeffrey R. Weidner
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey R. Weidner. A scholar is included among the top collaborators of Jeffrey R. Weidner 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 Jeffrey R. Weidner. Jeffrey R. Weidner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Basics of Enzymatic Assays for HTS | 24 |
| 3 | Assay Operations for SAR Support | 14 |
| 4 | Mechanism of Action Assays for Enzymes | 36 |
| 5 | HTS Assay Validation | 61 |
| 6 | Development and Applications of the Bioassay Ontology (BAO) to Describe and Categorize High-Throughput Assays -- Assay Guidance Manual | 3 |
| 7 | Interferences with Luciferase Reporter Enzymes -- Assay Guidance Manual | 5 |
| 8 | 190 | |
| 9 | 387 | |
| 10 | 388 | |
| 11 | 242 | |
| 12 | 254 | |
| 13 | 169 | |
| 14 | 15 | |
| 15 | 132 | |
| 16 | 108 | |
| 17 | 64 | |
| 18 | 39 | |
| 19 | 17 | |
| 20 | 3 |
About Jeffrey R. Weidner
Jeffrey R. Weidner is a scholar working on Immunology and Allergy, Cancer Research and Biophysics, having authored 39 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (6 papers), Computational Drug Discovery Methods (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Immunology and Allergy (317 citations), Rheumatology (638 citations) and Cancer Research (439 citations). Jeffrey R. Weidner has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Richard A. Mumford, Michael W. Lark, E K Bayne, Irwin Singer, Carl Nathan, Q W Xie, H R Williams, Matthew J. Kostura, Susan Donatelli and G Limjuco. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.