Kayla E. Hagman
- Parasitology top 0.5%
- Vector-borne infectious diseases 11
- Microbiology top 0.5%
- Reproductive tract infections research 8
- Bacterial Infections and Vaccines 4
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 4
- Infectious Diseases top 2%
- Viral Infections and Vectors 7
- Insect Science top 2%
- Insect symbiosis and bacterial influences 3
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- Syphilis Diagnosis and Treatment 6
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- Vector-Borne Animal Diseases 4
- Co-authors
- Michael V. NorgardWilliam M. ShaferJacqueline T. BalthazarTaissia G. PopovaXiaofeng YangRalph C. JuddStephen K. WikelGeorge B. Schoeler
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Journal of Bacteriology (5 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Kayla E. Hagman
26 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 74
- Parasitology 855
- Microbiology 586
- Molecular Medicine 334
- Infectious Diseases 783
- Insect Science 353
Countries citing papers authored by Kayla E. Hagman
This map shows the geographic impact of Kayla E. Hagman'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 Kayla E. Hagman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayla E. Hagman more than expected).
Fields of papers citing papers by Kayla E. Hagman
This network shows the impact of papers produced by Kayla E. Hagman. 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 Kayla E. Hagman. The network helps show where Kayla E. Hagman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kayla E. Hagman, 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 | 2014 | 26 | |
| 2 | 2008 | 96 | |
| 3 | 2008 | 56 | |
| 4 | 2008 | 66 | |
| 5 | 2007 | 19 | |
| 6 | 2004 | 34 | |
| 7 | 2004 | 27 | |
| 8 | 2004 | 17 | |
| 9 | 2003 | 54 | |
| 10 | 2000 | 216 | |
| 11 | 2000 | 89 | |
| 12 | 1999 | 27 | |
| 13 | 1997 | 102 | |
| 14 | 1997 | 18 | |
| 15 | 1997 | 100 | |
| 16 | 1997 | 56 | |
| 17 | 1996 | 17 | |
| 18 | 1995 | 300 | |
| 19 | 1995 | 42 | |
| 20 | 1995 | 97 |
About Kayla E. Hagman
Kayla E. Hagman is a scholar working on Parasitology, Microbiology and Molecular Medicine, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (11 papers), Reproductive tract infections research (8 papers), Viral Infections and Vectors (7 papers), Syphilis Diagnosis and Treatment (6 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Infections and Vaccines (4 papers), Vector-Borne Animal Diseases (4 papers) and Insect symbiosis and bacterial influences (3 papers). The work is most often cited by research in Parasitology (855 citations), Microbiology (586 citations) and Molecular Medicine (334 citations). Kayla E. Hagman has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Michael V. Norgard, William M. Shafer, Jacqueline T. Balthazar, Taissia G. Popova, Xiaofeng Yang, Ralph C. Judd, Stephen K. Wikel, George B. Schoeler, Brian G. Spratt and Jon S. Blevins. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Bacteriology.
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.