B F Haynes
- Immunology top 1%
- Molecular Biology top 5%
- Hematology top 1%
- Cell Biology top 2%
- Immunology and Allergy top 1%
- Co-authors
- Stephen M. DenningK H SingerRichard M. ScearceGeorge S. EisenbarthThomas A. WaldmannMarilyn J. TelenT J PalkerD T Tuck
- Topics
- T-cell and Retrovirus Studies (9 papers)Immune Cell Function and Interaction (9 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Investigation
- Partner nations
- United StatesJapanUkraine
In The Last Decade
B F Haynes
47 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 1.8k
- Molecular Biology 1.3k
- Hematology 651
- Cell Biology 576
- Immunology and Allergy 500
Countries citing papers authored by B F Haynes
This map shows the geographic impact of B F Haynes'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 B F Haynes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B F Haynes more than expected).
Fields of papers citing papers by B F Haynes
This network shows the impact of papers produced by B F Haynes. 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 B F Haynes. The network helps show where B F Haynes may publish in the future.
Co-authorship network of co-authors of B F Haynes
This figure shows the co-authorship network connecting the top 25 collaborators of B F Haynes. A scholar is included among the top collaborators of B F Haynes 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 B F Haynes. B F Haynes 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 | Germline-targeting and Reverse Engineering to Elicit CH235.12 Lineage bNAbs | 1 |
| 3 | 2 | |
| 4 | 94 | |
| 5 | 152 | |
| 6 | 47 | |
| 7 | 23 | |
| 8 | 62 | |
| 9 | 17 | |
| 10 | 50 | |
| 11 | 203 | |
| 12 | 30 | |
| 13 | 61 | |
| 14 | 68 | |
| 15 | 317 | |
| 16 | 239 | |
| 17 | 50 | |
| 18 | 130 | |
| 19 | Comparison of the relative cytotoxic effector cell capabilities and the proportions of cells bearing various surface markers in human tonsil and peripheral blood mononuclear cells. | 3 |
| 20 | Characterization of concanavalin a generated suppressor cells of the plaque forming cell response of human peripheral blood lymphocytes | 1 |
About B F Haynes
B F Haynes is a scholar working on Immunology, Virology and Immunology and Allergy, having authored 48 papers that have together received 3.8k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (9 papers), Immune Cell Function and Interaction (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Immunology (1.8k citations), Immunology and Allergy (500 citations) and Hematology (651 citations). B F Haynes has collaborated with scholars based in United States, Japan and Ukraine. Frequent co-authors include Stephen M. Denning, K H Singer, Richard M. Scearce, George S. Eisenbarth, Thomas A. Waldmann, Marilyn J. Telen, T J Palker, D T Tuck, A S Fauci and Martin E. Hemler. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.