Kaleeckal G. Harikumar
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Laurence J. MillerAmitabha ChattopadhyayDelia I. PinonPatrick M. SextonMaoqing DongH. Eric XuThomas J. PucadyilShanti Kalipatnapu
- Topics
- Receptor Mechanisms and Signaling (67 papers)Neuropeptides and Animal Physiology (61 papers)Lipid Membrane Structure and Behavior (20 papers)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Kaleeckal G. Harikumar
81 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 1.2k
- Surgery 234
- Endocrinology, Diabetes and Metabolism 195
- Radiology, Nuclear Medicine and Imaging 183
Countries citing papers authored by Kaleeckal G. Harikumar
This map shows the geographic impact of Kaleeckal G. Harikumar'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 Kaleeckal G. Harikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaleeckal G. Harikumar more than expected).
Fields of papers citing papers by Kaleeckal G. Harikumar
This network shows the impact of papers produced by Kaleeckal G. Harikumar. 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 Kaleeckal G. Harikumar. The network helps show where Kaleeckal G. Harikumar may publish in the future.
Co-authorship network of co-authors of Kaleeckal G. Harikumar
This figure shows the co-authorship network connecting the top 25 collaborators of Kaleeckal G. Harikumar. A scholar is included among the top collaborators of Kaleeckal G. Harikumar 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 Kaleeckal G. Harikumar. Kaleeckal G. Harikumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 147 | |
| 4 | 74 | |
| 5 | 47 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 22 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 14 | |
| 12 | 46 | |
| 13 | 15 | |
| 14 | 35 | |
| 15 | 12 | |
| 16 | 23 | |
| 17 | 39 | |
| 18 | 45 | |
| 19 | 43 | |
| 20 | 34 |
About Kaleeckal G. Harikumar
Kaleeckal G. Harikumar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 83 papers that have together received 2.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (67 papers), Neuropeptides and Animal Physiology (61 papers) and Lipid Membrane Structure and Behavior (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Molecular Biology (1.8k citations) and Biophysics (91 citations). Kaleeckal G. Harikumar has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Laurence J. Miller, Amitabha Chattopadhyay, Delia I. Pinon, Patrick M. Sexton, Maoqing Dong, H. Eric Xu, Thomas J. Pucadyil, Shanti Kalipatnapu, Maria Morfis and Denise Wootten. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.