Anjali Pandey
- Molecular Biology top 10%
- Hematology top 2%
- Genetics top 2%
- Immunology top 10%
- Oncology top 10%
- Co-authors
- Sarang BaniStanley J. HollenbachGreg CoffeyPamela B. ConleyNaresh K. SattiDaniel PalmerShaun R. CoughlinRobert M. Scarborough
- Topics
- Chronic Lymphocytic Leukemia Research (20 papers)Chronic Myeloid Leukemia Treatments (10 papers)Platelet Disorders and Treatments (9 papers)
- Cited by
- HematologyGeneticsInternal Medicine
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Anjali Pandey
82 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 832
- Hematology 520
- Genetics 372
- Immunology 310
- Oncology 267
Countries citing papers authored by Anjali Pandey
This map shows the geographic impact of Anjali Pandey'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 Anjali Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anjali Pandey more than expected).
Fields of papers citing papers by Anjali Pandey
This network shows the impact of papers produced by Anjali Pandey. 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 Anjali Pandey. The network helps show where Anjali Pandey may publish in the future.
Co-authorship network of co-authors of Anjali Pandey
This figure shows the co-authorship network connecting the top 25 collaborators of Anjali Pandey. A scholar is included among the top collaborators of Anjali Pandey 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 Anjali Pandey. Anjali Pandey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 13 | |
| 3 | The Anti-Obesity Potential of Cyperus rotundus Extract Containing Piceatannol, Scirpusin A and Scirpusin B from Rhizomes: Preclinical and Clinical Evaluations | 14 |
| 4 | 29 | |
| 5 | 69 | |
| 6 | 54 | |
| 7 | 11 | |
| 8 | 73 | |
| 9 | 41 | |
| 10 | 40 | |
| 11 | 22 | |
| 12 | Diversity and distribution of aromatic plants in forests of Gorakhpur division, U.P., India | 9 |
| 13 | 5 | |
| 14 | 17 | |
| 15 | 27 | |
| 16 | 20 | |
| 17 | Effect of aqueous extract of Labisia pumila on immune profile of pregnant rats. | 4 |
| 18 | 13 | |
| 19 | RATIONAL UTILIZATION OF IMPORTANT MEDICINAL PLANTS: A TOOL FOR CONSERVATION | 8 |
| 20 | Impact of Mining on the Flora of Motijharna, Rajmahal Hills (Bihar) | 1 |
About Anjali Pandey
Anjali Pandey is a scholar working on Genetics, Hematology and Toxicology, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (20 papers), Chronic Myeloid Leukemia Treatments (10 papers) and Platelet Disorders and Treatments (9 papers). The work is most often cited by research in Hematology (520 citations), Genetics (372 citations) and Internal Medicine (88 citations). Anjali Pandey has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sarang Bani, Stanley J. Hollenbach, Greg Coffey, Pamela B. Conley, Naresh K. Satti, Daniel Palmer, Shaun R. Coughlin, Robert M. Scarborough, Ron O. Dror and David E. Shaw. Their work appears in journals such as Nature, 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.