Sandeep Khurana
- Hepatology top 5%
- Liver Disease and Transplantation 10
- Liver physiology and pathology 4
- Sensory Systems top 5%
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 9
- Developmental Biology top 10%
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- Liver Disease Diagnosis and Treatment 15
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- Nitric Oxide and Endothelin Effects 6
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- Drug-Induced Hepatotoxicity and Protection 6
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- Receptor Mechanisms and Signaling 5
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- Renin-Angiotensin System Studies 5
- Co-authors
- Jean-Pierre RaufmanKunrong ChengPankaj SinghSubodha KumarLiangfei QiuThomas L. PalloneJean‐Pierre RaufmanGuofeng Xie
- Cited by
- HepatologySensory SystemsOncology
- Journals
- Journal of Clinical Investigation (1 paper)Journal of Neuroscience (1 paper)Gastroenterology (3 papers)
- Partner nations
- United StatesIndiaVietnam
In The Last Decade
Sandeep Khurana
63 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 139
- Hepatology 233
- Sensory Systems 61
- Oncology 327
- Cellular and Molecular Neuroscience 190
- Developmental Biology 22
Countries citing papers authored by Sandeep Khurana
This map shows the geographic impact of Sandeep Khurana'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 Sandeep Khurana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Khurana more than expected).
Fields of papers citing papers by Sandeep Khurana
This network shows the impact of papers produced by Sandeep Khurana. 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 Sandeep Khurana. The network helps show where Sandeep Khurana may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sandeep Khurana, 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 | 2024 | 3 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 11 | |
| 5 | Activating the Sisterhood: A Structural and Temporal Analysis of Sustained Connective Action in #MeTooIndia | 2020 | 2 |
| 6 | 2019 | 21 | |
| 7 | 2018 | 5 | |
| 8 | When a Doctor Knows, it Shows: An Empirical Analysis of Doctors’ Responses in Q&A Forum of an Online Healthcare Portal | 2017 | 2 |
| 9 | 2015 | 10 | |
| 10 | 2014 | 31 | |
| 11 | 2014 | 13 | |
| 12 | 2011 | 71 | |
| 13 | 2011 | 119 | |
| 14 | 2010 | 16 | |
| 15 | 2008 | 121 | |
| 16 | 2005 | 32 | |
| 17 | 1999 | 93 | |
| 18 | 1997 | 6 | |
| 19 | 1995 | 1 | |
| 20 | 1994 | 28 |
About Sandeep Khurana
Sandeep Khurana is a scholar working on Hepatology, Pharmacology and Immunology and Allergy, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (15 papers), Liver Disease and Transplantation (10 papers), Drug Transport and Resistance Mechanisms (9 papers), Nitric Oxide and Endothelin Effects (6 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Receptor Mechanisms and Signaling (5 papers), Renin-Angiotensin System Studies (5 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Hepatology (233 citations), Sensory Systems (61 citations) and Oncology (327 citations). Sandeep Khurana has collaborated with scholars based in United States, India and Vietnam. Frequent co-authors include Jean-Pierre Raufman, Kunrong Cheng, Pankaj Singh, Subodha Kumar, Liangfei Qiu, Thomas L. Pallone, Jean‐Pierre Raufman, Guofeng Xie, Ronak Patel and George Cholankeril. Their work appears in journals such as Journal of Clinical Investigation, Journal of Neuroscience and Gastroenterology.
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.