Philip S. Brachman
- Molecular Biology top 5%
- Endocrinology top 0.2%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Health, Toxicology and Mutagenesis top 2%
- Co-authors
- Alfred S. EvansJoseph E. McDadeDavid W. FraserWilliam E. ParkinStanley M. MartinGeorge F. MallisonRobert G. SharrarCharles C. Shepard
- Topics
- Bacillus and Francisella bacterial research (14 papers)Salmonella and Campylobacter epidemiology (10 papers)Infection Control and Ventilation (5 papers)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Philip S. Brachman
73 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 1.5k
- Endocrinology 1.4k
- Infectious Diseases 857
- Epidemiology 574
- Health, Toxicology and Mutagenesis 421
Countries citing papers authored by Philip S. Brachman
This map shows the geographic impact of Philip S. Brachman'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 Philip S. Brachman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip S. Brachman more than expected).
Fields of papers citing papers by Philip S. Brachman
This network shows the impact of papers produced by Philip S. Brachman. 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 Philip S. Brachman. The network helps show where Philip S. Brachman may publish in the future.
Co-authorship network of co-authors of Philip S. Brachman
This figure shows the co-authorship network connecting the top 25 collaborators of Philip S. Brachman. A scholar is included among the top collaborators of Philip S. Brachman 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 Philip S. Brachman. Philip S. Brachman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 81 | |
| 2 | Evolution of epidemic investigations and field epidemiology during the MMWR era at CDC--1961-2011. | 6 |
| 3 | 68 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | High sensitivity of HLA-B*5701 in Whites and Blacks in immunologically-confirmed cases of abacavir hypersensitivity (ABC HSR) | 8 |
| 8 | 33 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 99 | |
| 13 | 4 | |
| 14 | Clinical and epidemiological observations on an outbreak of plague in Nepal. | 13 |
| 15 | 15 | |
| 16 | 15 | |
| 17 | 7 | |
| 18 | 41 | |
| 19 | 10 | |
| 20 | 16 |
About Philip S. Brachman
Philip S. Brachman is a scholar working on Endocrinology, Infectious Diseases and Virology, having authored 75 papers that have together received 4.0k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (14 papers), Salmonella and Campylobacter epidemiology (10 papers) and Infection Control and Ventilation (5 papers). The work is most often cited by research in Endocrinology (1.4k citations), Infectious Diseases (857 citations) and Virology (209 citations). Philip S. Brachman has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Alfred S. Evans, Joseph E. McDade, David W. Fraser, William E. Parkin, Stanley M. Martin, George F. Mallison, Robert G. Sharrar, Charles C. Shepard, H. James Beecham and John Harris. Their work appears in journals such as Science, New England Journal of Medicine 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.