Phillip E. Klebba
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
Papers in
-
- Antibiotic Resistance in Bacteria 22
- Genetics 50
- Bacterial Genetics and Biotechnology 50
- Co-authors
- Salete M. NewtonZhenghua CaoJun LiuJimmy B. FeixAlain CharbitDaniel C. ScottMark A. McIntoshXiaoxu Jiang
- 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
71 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 129
- Molecular Medicine 557
- Endocrinology 335
- Genetics 1.4k
- Microbiology 189
- Hematology 321
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 17 | |
| 2 | 2016 | 63 | |
| 3 | 2014 | 26 | |
| 4 | 2012 | 37 | |
| 5 | 2012 | 44 | |
| 6 | 2011 | 39 | |
| 7 | 2010 | 29 | |
| 8 | 2009 | 20 | |
| 9 | 2005 | 67 | |
| 10 | 2004 | 55 | |
| 11 | 2003 | 34 | |
| 12 | 2003 | 39 | |
| 13 | 2002 | 24 | |
| 14 | 2002 | 73 | |
| 15 | 2001 | 134 | |
| 16 | 2000 | 15 | |
| 17 | 1999 | 6 | |
| 18 | 1998 | 76 | |
| 19 | 1995 | 9 | |
| 20 | 1993 | 77 |
About Phillip E. Klebba
Phillip E. Klebba is a scholar working on Molecular Medicine, Genetics, Endocrinology, Hematology and Biophysics, having authored 72 papers that have together received 3.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (50 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), Porphyrin Metabolism and Disorders (6 papers), Drug Transport and Resistance Mechanisms (6 papers) and Clostridium difficile and Clostridium perfringens research (6 papers). The work is most often cited by research in Molecular Medicine (557 citations), Endocrinology (335 citations), Genetics (1.4k citations), Microbiology (189 citations) and Hematology (321 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, S. P. Singh and Alice T. Bentley. 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.