Kim M. Gernert
- Molecular Biology top 5%
- Physiology top 5%
- Cell Biology top 2%
- Immunology top 5%
- Epidemiology top 10%
- Co-authors
- Richard A. StantonJames H. NettlesRitu AnejaLee JiaClaude A. PiantadosiJoseph BonaventuraDemchenko ItJerry P. Eu
- Topics
- Reproductive tract infections research (8 papers)Bacterial Infections and Vaccines (7 papers)Syphilis Diagnosis and Treatment (5 papers)
- Cited by
- AgingCell BiologyMicrobiology
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Kim M. Gernert
39 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 2.0k
- Physiology 731
- Cell Biology 585
- Immunology 519
- Epidemiology 451
Countries citing papers authored by Kim M. Gernert
This map shows the geographic impact of Kim M. Gernert'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 Kim M. Gernert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim M. Gernert more than expected).
Fields of papers citing papers by Kim M. Gernert
This network shows the impact of papers produced by Kim M. Gernert. 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 Kim M. Gernert. The network helps show where Kim M. Gernert may publish in the future.
Co-authorship network of co-authors of Kim M. Gernert
This figure shows the co-authorship network connecting the top 25 collaborators of Kim M. Gernert. A scholar is included among the top collaborators of Kim M. Gernert 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 Kim M. Gernert. Kim M. Gernert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 66 | |
| 3 | 10 | |
| 4 | 283 | |
| 5 | 422 | |
| 6 | 9 | |
| 7 | 38 | |
| 8 | Systems biology approach predicts immunogenicity of the yellow fever vaccine in humansbreakdown → | 809 |
| 9 | 33 | |
| 10 | 23 | |
| 11 | 69 | |
| 12 | 86 | |
| 13 | 11 | |
| 14 | 15 | |
| 15 | 56 | |
| 16 | Blood Flow Regulation by S -Nitrosohemoglobin in the Physiological Oxygen Gradientbreakdown → | 833 |
| 17 | 100 | |
| 18 | 105 | |
| 19 | Looking at proteins: representations, folding, packing, and design. Biophysical Society National Lecture, 1992. | 107 |
| 20 | 27 |
About Kim M. Gernert
Kim M. Gernert is a scholar working on Aging, Microbiology and Virology, having authored 40 papers that have together received 4.0k indexed citations. Recurring topics across this work include Reproductive tract infections research (8 papers), Bacterial Infections and Vaccines (7 papers) and Syphilis Diagnosis and Treatment (5 papers). The work is most often cited by research in Aging (95 citations), Cell Biology (585 citations) and Microbiology (185 citations). Kim M. Gernert has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Richard A. Stanton, James H. Nettles, Ritu Aneja, Lee Jia, Claude A. Piantadosi, Joseph Bonaventura, Demchenko It, Jerry P. Eu, Jonathan S. Stamler and T. McMahon. Their work appears in journals such as Science, Journal of Biological Chemistry and Nature Immunology.
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.