Kalyan D. Chavda
- Molecular Medicine top 0.05%
- Endocrinology top 0.2%
- Pharmacology top 1%
- Molecular Biology
- Pollution top 2%
- Co-authors
- Barry N. KreiswirthLiang ChenRobert A. BonomoBarun MathemaFrank R. DeLeoMichael R. JacobsJosé R. MediavillaRoberto G. Melano
- Topics
- Antibiotic Resistance in Bacteria (40 papers)Pharmaceutical and Antibiotic Environmental Impacts (11 papers)Enterobacteriaceae and Cronobacter Research (10 papers)
- Journals
- Proceedings of the National Academy of SciencesClinical Infectious DiseasesJournal of Clinical Microbiology
- Partner nations
- United StatesCanadaChina
In The Last Decade
Kalyan D. Chavda
45 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Medicine 2.5k
- Endocrinology 1.0k
- Pharmacology 769
- Molecular Biology 657
- Pollution 555
Countries citing papers authored by Kalyan D. Chavda
This map shows the geographic impact of Kalyan D. Chavda'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 Kalyan D. Chavda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalyan D. Chavda more than expected).
Fields of papers citing papers by Kalyan D. Chavda
This network shows the impact of papers produced by Kalyan D. Chavda. 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 Kalyan D. Chavda. The network helps show where Kalyan D. Chavda may publish in the future.
Co-authorship network of co-authors of Kalyan D. Chavda
This figure shows the co-authorship network connecting the top 25 collaborators of Kalyan D. Chavda. A scholar is included among the top collaborators of Kalyan D. Chavda 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 Kalyan D. Chavda. Kalyan D. Chavda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 28 | |
| 3 | 37 | |
| 4 | 39 | |
| 5 | 11 | |
| 6 | Emergence of Ceftazidime-Avibactam Resistance Due to Plasmid-Borne bla KPC-3 Mutations during Treatment of Carbapenem-Resistant Klebsiella pneumoniae Infectionsbreakdown → | 393 |
| 7 | 114 | |
| 8 | 18 | |
| 9 | 3 | |
| 10 | 31 | |
| 11 | 14 | |
| 12 | Carbapenemase-producing Klebsiella pneumoniae: molecular and genetic decodingbreakdown → | 410 |
| 13 | 82 | |
| 14 | 1 | |
| 15 | 54 | |
| 16 | 85 | |
| 17 | 11 | |
| 18 | 9 | |
| 19 | 33 | |
| 20 | 33 |
About Kalyan D. Chavda
Kalyan D. Chavda is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 45 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (40 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers) and Enterobacteriaceae and Cronobacter Research (10 papers). The work is most often cited by research in Molecular Medicine (2.5k citations), Endocrinology (1.0k citations) and Applied Microbiology and Biotechnology (265 citations). Kalyan D. Chavda has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Barry N. Kreiswirth, Liang Chen, Robert A. Bonomo, Barun Mathema, Frank R. DeLeo, Michael R. Jacobs, José R. Mediavilla, Roberto G. Melano, Ruchi Pandey and M. Hong Nguyen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Clinical Infectious Diseases and Journal of Clinical Microbiology.
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.