Paul D. Hoeprich
- Epidemiology top 2%
- Infectious Diseases top 1%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Immunology top 10%
- Co-authors
- R. V. F. LachicaConstantin GenigeorgisElliot GoldsteinRuth M. LawrenceCraig BlanchettePatricia D. FinnGeorge W. JordanGail A. Wong
- Topics
- Antifungal resistance and susceptibility (28 papers)Fungal Infections and Studies (23 papers)Antimicrobial Resistance in Staphylococcus (17 papers)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Paul D. Hoeprich
166 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 151
- Epidemiology 1.4k
- Infectious Diseases 1.3k
- Molecular Biology 1.2k
- Pulmonary and Respiratory Medicine 443
- Immunology 388
Countries citing papers authored by Paul D. Hoeprich
This map shows the geographic impact of Paul D. Hoeprich'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 Paul D. Hoeprich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul D. Hoeprich more than expected).
Fields of papers citing papers by Paul D. Hoeprich
This network shows the impact of papers produced by Paul D. Hoeprich. 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 Paul D. Hoeprich. The network helps show where Paul D. Hoeprich may publish in the future.
Co-authorship network of co-authors of Paul D. Hoeprich
This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Hoeprich. A scholar is included among the top collaborators of Paul D. Hoeprich 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 Paul D. Hoeprich. Paul D. Hoeprich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 14 | |
| 3 | 11 | |
| 4 | 35 | |
| 5 | 45 | |
| 6 | 36 | |
| 7 | 96 | |
| 8 | 22 | |
| 9 | 15 | |
| 10 | Infectious diseases : a treatise of infectious processes | 60 |
| 11 | 64 | |
| 12 | 166 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 29 | |
| 19 | 12 | |
| 20 | Tellurite reduction as an indicator of potentially pathogenic stapylococci. | 21 |
About Paul D. Hoeprich
Paul D. Hoeprich is a scholar working on Molecular Medicine, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 171 papers that have together received 4.6k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (28 papers), Fungal Infections and Studies (23 papers) and Antimicrobial Resistance in Staphylococcus (17 papers). The work is most often cited by research in Microbiology (54 citations), Infectious Diseases (1.3k citations) and Molecular Medicine (250 citations). Paul D. Hoeprich has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include R. V. F. Lachica, Constantin Genigeorgis, Elliot Goldstein, Ruth M. Lawrence, Craig Blanchette, Patricia D. Finn, George W. Jordan, Gail A. Wong, Richard H. Parker and Brett A. Chromy. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.