Phillip E. Klebba
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
Papers in
- Genetics 51
- Bacterial Genetics and Biotechnology 51
-
- RNA and protein synthesis mechanisms 8
- Porphyrin Metabolism and Disorders 6
- Co-authors
- Salete M. Newton (42 shared papers)Zhenghua Cao (9 shared papers)Jun Liu (5 shared papers)Jimmy B. Feix (5 shared papers)Alain Charbit (11 shared papers)Daniel C. Scott (7 shared papers)Mark A. McIntosh (2 shared papers)Xiaoxu Jiang (7 shared papers)
- Journals
- Journal of Bacteriology (20 papers)Journal of Biological Chemistry (11 papers)Molecular Microbiology (6 papers)Research in Microbiology (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesFranceBrazil
In The Last Decade
Phillip E. Klebba
72 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 128
- Molecular Medicine 571
- Endocrinology 334
- Genetics 1.5k
- Microbiology 193
- Hematology 327
Countries citing papers authored by Phillip E. Klebba
This map shows the geographic impact of Phillip E. Klebba'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 Phillip E. Klebba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip E. Klebba more than expected).
Fields of papers citing papers by Phillip E. Klebba
This network shows the impact of papers produced by Phillip E. Klebba. 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 Phillip E. Klebba. The network helps show where Phillip E. Klebba may publish in the future.
Co-authors
The 25 scholars most cited alongside Phillip E. Klebba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 155 | |
| 2 | 2001 | 141 | |
| 3 | 2004 | 111 | |
| 4 | 1990 | 109 | |
| 5 | 2021 | 102 | |
| 6 | 1982 | 101 | |
| 7 | 1997 | 86 | |
| 8 | 1999 | 86 | |
| 9 | 1991 | 85 | |
| 10 | 1993 | 82 | |
| 11 | 1998 | 80 | |
| 12 | 2002 | 74 | |
| 13 | 2000 | 73 | |
| 14 | 2006 | 71 | |
| 15 | 2005 | 70 | |
| 16 | 2007 | 69 | |
| 17 | 1993 | 65 | |
| 18 | 1988 | 65 | |
| 19 | 2016 | 63 | |
| 20 | 2004 | 62 |
About Phillip E. Klebba
Phillip E. Klebba is a scholar working on Genetics, Molecular Biology, Molecular Medicine, Ecology and Hematology, having authored 74 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (51 papers), Antibiotic Resistance in Bacteria (22 papers), Bacteriophages and microbial interactions (16 papers), Iron Metabolism and Disorders (10 papers), RNA and protein synthesis mechanisms (8 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Drug Transport and Resistance Mechanisms (6 papers) and Porphyrin Metabolism and Disorders (6 papers). The work is most often cited by research in Molecular Medicine (571 citations), Endocrinology (334 citations), Genetics (1.5k citations), Microbiology (193 citations) and Hematology (327 citations). Phillip E. Klebba has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Salete M. Newton, Zhenghua Cao, Jun Liu, Jimmy B. Feix, Alain Charbit, Daniel C. Scott, Mark A. McIntosh, Xiaoxu Jiang, Matthew Bauler and S. P. Singh. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Molecular Microbiology, Research in Microbiology 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.