Pankaj K. Agarwalla
- Genetics top 2%
- Molecular Biology
- Neurology top 5%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Ian F. DunnGavin P. DunnWilliam T. CurryWilliam C. HahnEdward R. LawsKeith L. LigonJill WykoskyFrank B. Furnari
- Topics
- Glioma Diagnosis and Treatment (12 papers)Meningioma and schwannoma management (12 papers)Intracranial Aneurysms: Treatment and Complications (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyGenes & Development
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Pankaj K. Agarwalla
53 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Genetics 457
- Molecular Biology 368
- Neurology 339
- Epidemiology 314
- Endocrinology, Diabetes and Metabolism 305
Countries citing papers authored by Pankaj K. Agarwalla
This map shows the geographic impact of Pankaj K. Agarwalla'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 Pankaj K. Agarwalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pankaj K. Agarwalla more than expected).
Fields of papers citing papers by Pankaj K. Agarwalla
This network shows the impact of papers produced by Pankaj K. Agarwalla. 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 Pankaj K. Agarwalla. The network helps show where Pankaj K. Agarwalla may publish in the future.
Co-authorship network of co-authors of Pankaj K. Agarwalla
This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj K. Agarwalla. A scholar is included among the top collaborators of Pankaj K. Agarwalla 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 Pankaj K. Agarwalla. Pankaj K. Agarwalla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 88 | |
| 8 | 45 | |
| 9 | 84 | |
| 10 | 17 | |
| 11 | 5 | |
| 12 | 20 | |
| 13 | 7 | |
| 14 | 35 | |
| 15 | 95 | |
| 16 | Emerging insights into the molecular and cellular basis of glioblastomabreakdown → | 425 |
| 17 | 12 | |
| 18 | 88 | |
| 19 | 9 | |
| 20 | 11 |
About Pankaj K. Agarwalla
Pankaj K. Agarwalla is a scholar working on Neurology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Meningioma and schwannoma management (12 papers) and Intracranial Aneurysms: Treatment and Complications (7 papers). The work is most often cited by research in Genetics (457 citations), Neurology (339 citations) and Endocrinology, Diabetes and Metabolism (305 citations). Pankaj K. Agarwalla has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Ian F. Dunn, Gavin P. Dunn, Ian F. Dunn, William T. Curry, William C. Hahn, Edward R. Laws, Keith L. Ligon, Jill Wykosky, Frank B. Furnari and Benito Campos. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Genes & Development.
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.