Divya Sitaraman
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Endocrine and Autonomic Systems top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Insect Science top 5%
- Co-authors
- Troy ZarsHolly LaFerriereMichael N. NitabachMelissa ZarsYoshinori AsoGerald M. RubinGeorge E. RottinghausToshihiro Kitamoto
- Topics
- Neurobiology and Insect Physiology Research (22 papers)Insect and Arachnid Ecology and Behavior (12 papers)Circadian rhythm and melatonin (8 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Divya Sitaraman
22 papers receiving 716 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 620
- Genetics 289
- Endocrine and Autonomic Systems 209
- Ecology, Evolution, Behavior and Systematics 177
- Insect Science 140
Countries citing papers authored by Divya Sitaraman
This map shows the geographic impact of Divya Sitaraman'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 Divya Sitaraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Sitaraman more than expected).
Fields of papers citing papers by Divya Sitaraman
This network shows the impact of papers produced by Divya Sitaraman. 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 Divya Sitaraman. The network helps show where Divya Sitaraman may publish in the future.
Co-authorship network of co-authors of Divya Sitaraman
This figure shows the co-authorship network connecting the top 25 collaborators of Divya Sitaraman. A scholar is included among the top collaborators of Divya Sitaraman 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 Divya Sitaraman. Divya Sitaraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | Aversive and Appetitive Learning in Drosophila Larvae: A Simple and Powerful Suite of Laboratory Modules for Classroom or Open-ended Research Projects. | 1 |
| 12 | 65 | |
| 13 | 73 | |
| 14 | 12 | |
| 15 | 101 | |
| 16 | 61 | |
| 17 | 53 | |
| 18 | 15 | |
| 19 | 10 | |
| 20 | 16 |
About Divya Sitaraman
Divya Sitaraman is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Aging, having authored 22 papers that have together received 720 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (22 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Circadian rhythm and melatonin (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (620 citations), Endocrine and Autonomic Systems (209 citations) and Aging (47 citations). Divya Sitaraman has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Troy Zars, Holly LaFerriere, Michael N. Nitabach, Melissa Zars, Yoshinori Aso, Gerald M. Rubin, George E. Rottinghaus, Toshihiro Kitamoto, Xin Jin and Nan Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current 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.