Richard J. Feldmann
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cell Biology top 5%
- Genetics top 10%
- Immunology top 10%
- Co-authors
- Jere P. SegrestDavid H. BingBruce FurieC R MainhartDavid J. RobisonSandra J. Smith‐GillB FurieJohn P. Burnier
- Topics
- Glycosylation and Glycoproteins Research (9 papers)Protein Structure and Dynamics (9 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesPolandCanada
In The Last Decade
Richard J. Feldmann
42 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.3k
- Radiology, Nuclear Medicine and Imaging 418
- Cell Biology 249
- Genetics 232
- Immunology 223
Countries citing papers authored by Richard J. Feldmann
This map shows the geographic impact of Richard J. Feldmann'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 Richard J. Feldmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard J. Feldmann more than expected).
Fields of papers citing papers by Richard J. Feldmann
This network shows the impact of papers produced by Richard J. Feldmann. 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 Richard J. Feldmann. The network helps show where Richard J. Feldmann may publish in the future.
Co-authorship network of co-authors of Richard J. Feldmann
This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Feldmann. A scholar is included among the top collaborators of Richard J. Feldmann 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 Richard J. Feldmann. Richard J. Feldmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Folding Simulation using Temperature Parallel Simulated Annealing. | 1 |
| 2 | 3 | |
| 3 | 48 | |
| 4 | 181 | |
| 5 | 3 | |
| 6 | 122 | |
| 7 | 44 | |
| 8 | 99 | |
| 9 | 22 | |
| 10 | 126 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 52 | |
| 14 | 23 | |
| 15 | 69 | |
| 16 | 56 | |
| 17 | 36 | |
| 18 | 9 | |
| 19 | 13 | |
| 20 | 8 |
About Richard J. Feldmann
Richard J. Feldmann is a scholar working on Physical and Theoretical Chemistry, Molecular Biology and Cell Biology, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Protein Structure and Dynamics (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Immunology and Allergy (144 citations), Molecular Biology (1.3k citations) and Hematology (212 citations). Richard J. Feldmann has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Jere P. Segrest, David H. Bing, Bruce Furie, C R Mainhart, David J. Robison, Sandra J. Smith‐Gill, B Furie, John P. Burnier, Stephen R. Heller and Joyce A. Schroer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.