K A Kalla
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Growth Hormone and Insulin-like Growth Factors
Papers in
- Genetics 7
- Animal Genetics and Reproduction 4
- Genetics and Neurodevelopmental Disorders 2
- Estrogen and related hormone effects 1
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- Congenital heart defects research 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Michael G. Rosenfeld (5 shared papers)Shawn M. O’Connell (2 shared papers)John R. Bermingham (2 shared papers)E. Bryan Crenshaw (2 shared papers)Frank L. Powell (1 shared paper)Steven S. Scherer (1 shared paper)Gabriel E. DiMattia (2 shared papers)Simon J. Rhodes (2 shared papers)
- Journals
- Genes & Development (5 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Endocrinology (1 paper)Journal of Neuroscience (1 paper)Developmental Biology (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
K A Kalla
11 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Developmental Neuroscience 103
- Endocrinology, Diabetes and Metabolism 347
- Genetics 403
- Molecular Biology 684
- Cellular and Molecular Neuroscience 180
Countries citing papers authored by K A Kalla
This map shows the geographic impact of K A Kalla'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 K A Kalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K A Kalla more than expected).
Fields of papers citing papers by K A Kalla
This network shows the impact of papers produced by K A Kalla. 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 K A Kalla. The network helps show where K A Kalla may publish in the future.
Co-authors
The 25 scholars most cited alongside K A Kalla, 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 | 1995 | 242 | |
| 2 | 1996 | 217 | |
| 3 | 1993 | 193 | |
| 4 | 1989 | 151 | |
| 5 | 1993 | 112 | |
| 6 | 1995 | 103 | |
| 7 | 1997 | 56 | |
| 8 | 1997 | 52 | |
| 9 | 1993 | 45 | |
| 10 | 1991 | 21 | |
| 11 | 2017 | 1 |
About K A Kalla
K A Kalla is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Animal Genetics and Reproduction (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Congenital heart defects research (2 papers), Hypothalamic control of reproductive hormones (1 paper), Estrogen and related hormone effects (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Developmental Neuroscience (103 citations), Endocrinology, Diabetes and Metabolism (347 citations), Genetics (403 citations), Molecular Biology (684 citations) and Cellular and Molecular Neuroscience (180 citations). K A Kalla has collaborated with scholars based in United States and Singapore. Frequent co-authors include Michael G. Rosenfeld, Shawn M. O’Connell, John R. Bermingham, E. Bryan Crenshaw, Frank L. Powell, Steven S. Scherer, Gabriel E. DiMattia, Simon J. Rhodes, Larry W. Swanson and Donna M. Simmons. Their work appears in journals such as Genes & Development, Proceedings of the National Academy of Sciences, Molecular Endocrinology, Journal of Neuroscience and Developmental Biology.
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.