Shona A. Mookerjee
- Molecular Biology top 5%
- Physiology top 5%
- Cancer Research top 10%
- Cellular and Molecular Neuroscience top 10%
- Epidemiology
- Co-authors
- Martin D. BrandDavid G. NichollsMartin JastrochAkos A. GerencserAjit S. DivakaruniJason R. TrebergRenata L.S. GoncalvesLinda Nguyen
- Topics
- Mitochondrial Function and Pathology (18 papers)Adipose Tissue and Metabolism (10 papers)ATP Synthase and ATPases Research (5 papers)
- Cited by
- AgingBiological PsychiatryPhysiology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Shona A. Mookerjee
23 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.5k
- Physiology 578
- Cancer Research 264
- Cellular and Molecular Neuroscience 235
- Epidemiology 183
Countries citing papers authored by Shona A. Mookerjee
This map shows the geographic impact of Shona A. Mookerjee'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 Shona A. Mookerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shona A. Mookerjee more than expected).
Fields of papers citing papers by Shona A. Mookerjee
This network shows the impact of papers produced by Shona A. Mookerjee. 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 Shona A. Mookerjee. The network helps show where Shona A. Mookerjee may publish in the future.
Co-authorship network of co-authors of Shona A. Mookerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Shona A. Mookerjee. A scholar is included among the top collaborators of Shona A. Mookerjee 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 Shona A. Mookerjee. Shona A. Mookerjee 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 | 44 | |
| 3 | 22 | |
| 4 | 88 | |
| 5 | 8 | |
| 6 | 349 | |
| 7 | 93 | |
| 8 | 14 | |
| 9 | 123 | |
| 10 | 33 | |
| 11 | 75 | |
| 12 | 270 | |
| 13 | 185 | |
| 14 | 14 | |
| 15 | 24 | |
| 16 | 130 | |
| 17 | Mitochondrial proton and electron leaksbreakdown → | 628 |
| 18 | 41 | |
| 19 | 27 | |
| 20 | 24 |
About Shona A. Mookerjee
Shona A. Mookerjee is a scholar working on Physiology, Biological Psychiatry and Molecular Biology, having authored 24 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (18 papers), Adipose Tissue and Metabolism (10 papers) and ATP Synthase and ATPases Research (5 papers). The work is most often cited by research in Aging (59 citations), Biological Psychiatry (69 citations) and Physiology (578 citations). Shona A. Mookerjee has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Martin D. Brand, David G. Nicholls, Martin Jastroch, Akos A. Gerencser, Ajit S. Divakaruni, Jason R. Treberg, Renata L.S. Goncalves, Linda Nguyen, Rae R. Matsumoto and Brandon Lucke‐Wold. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Cell 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.