Kshitij S. Arora
- Geriatrics and Gerontology top 5%
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- Cancer Genomics and Diagnostics 8
- Cancer-related molecular mechanisms research 3
- Oncology top 10%
- Cancer Cells and Metastasis 6
- Pancreatic and Hepatic Oncology Research 5
- Otorhinolaryngology top 10%
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- Neuroendocrine Tumor Research Advances 4
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- IgG4-Related and Inflammatory Diseases 3
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- Cholangiocarcinoma and Gallbladder Cancer Studies 3
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- Metastasis and carcinoma case studies 3
- Co-authors
- Vikram DeshpandeDavid T. TingMiguel N. RiveraSridhar RamaswamyNabeel BardeesyYasutaka KatoSupriya K. SahaAdrianne D. Gladden
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Kshitij S. Arora
31 papers receiving 674 citations
Peers
Comparison fields: 5 of 68
- Geriatrics and Gerontology 91
- Cancer Research 158
- Oncology 254
- Otorhinolaryngology 32
- Physiology 22
Countries citing papers authored by Kshitij S. Arora
This map shows the geographic impact of Kshitij S. Arora'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 Kshitij S. Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kshitij S. Arora more than expected).
Fields of papers citing papers by Kshitij S. Arora
This network shows the impact of papers produced by Kshitij S. Arora. 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 Kshitij S. Arora. The network helps show where Kshitij S. Arora may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kshitij S. Arora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2020 | 4 | |
| 10 | 2019 | 60 | |
| 11 | 2019 | 15 | |
| 12 | 2019 | 4 | |
| 13 | 2018 | 56 | |
| 14 | 2017 | 17 | |
| 15 | 2016 | 22 | |
| 16 | 2016 | 195 | |
| 17 | 2015 | 35 | |
| 18 | 2015 | 42 | |
| 19 | 2014 | 72 | |
| 20 | Application of Artificial Neural Network for Form Finding of Tensegrity Structures. | 2005 | 1 |
About Kshitij S. Arora
Kshitij S. Arora is a scholar working on Cancer Research, Architecture and Oncology, having authored 37 papers that have together received 684 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Cancer Cells and Metastasis (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Neuroendocrine Tumor Research Advances (4 papers), IgG4-Related and Inflammatory Diseases (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Cancer-related molecular mechanisms research (3 papers) and Metastasis and carcinoma case studies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (91 citations), Cancer Research (158 citations) and Oncology (254 citations). Kshitij S. Arora has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Vikram Deshpande, David T. Ting, Miguel N. Rivera, Sridhar Ramaswamy, Nabeel Bardeesy, Yasutaka Kato, Supriya K. Saha, Adrianne D. Gladden, Kenneth N. Ross and Ruslan I. Sadreyev. Their work appears in journals such as Cell, Journal of Clinical Oncology and Cancer Research.
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.