Sanjeev Arora

7.0k total citations · 2 hit papers
23 papers, 2.8k citations indexed

About

Sanjeev Arora is a scholar working on Hepatology, Computational Theory and Mathematics and Epidemiology. According to data from OpenAlex, Sanjeev Arora has authored 23 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hepatology, 7 papers in Computational Theory and Mathematics and 6 papers in Epidemiology. Recurrent topics in Sanjeev Arora's work include Hepatitis C virus research (9 papers), Complexity and Algorithms in Graphs (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). Sanjeev Arora is often cited by papers focused on Hepatitis C virus research (9 papers), Complexity and Algorithms in Graphs (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). Sanjeev Arora collaborates with scholars based in United States, United Kingdom and India. Sanjeev Arora's co-authors include Boaz Barak, Ravi Kannan, David Steurer, David Johnston, Mazen M. Jamal, Patrick G. Quinn, Anurag Soni, Robert Rosenberg, Donald E. Wheeler and John R. Saltzman and has published in prestigious journals such as Gastroenterology, American Journal of Clinical Nutrition and Hepatology.

In The Last Decade

Sanjeev Arora

21 papers receiving 2.6k citations

Hit Papers

Computational Complexity: A Modern Approach 2009 2026 2014 2020 2009 2009 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sanjeev Arora United States 15 1.3k 1.1k 369 221 207 23 2.8k
Philip M. Long United States 27 1.5k 1.2× 326 0.3× 208 0.6× 68 0.3× 77 0.4× 97 4.2k
Giuseppe Modica Italy 29 113 0.1× 729 0.7× 472 1.3× 42 0.2× 104 0.5× 230 3.1k
Jens Krüger Germany 24 420 0.3× 249 0.2× 986 2.7× 18 0.1× 261 1.3× 125 4.0k
Heng Liu China 30 998 0.8× 280 0.3× 976 2.6× 10 0.0× 296 1.4× 266 3.5k
Alan Weiss United States 24 137 0.1× 164 0.1× 933 2.5× 244 1.1× 353 1.7× 84 2.1k
Xiaohui Liu China 32 483 0.4× 61 0.1× 262 0.7× 51 0.2× 176 0.9× 111 3.5k
Ce Zhang Switzerland 28 2.0k 1.6× 145 0.1× 495 1.3× 11 0.0× 146 0.7× 103 3.3k
Ümit V. Çatalyürek United States 39 1.3k 1.0× 427 0.4× 2.2k 5.9× 8 0.0× 498 2.4× 228 5.1k
Zengyou He China 24 1.5k 1.2× 305 0.3× 402 1.1× 5 0.0× 57 0.3× 94 3.1k
Larry Goldstein United States 22 506 0.4× 161 0.1× 108 0.3× 18 0.1× 71 0.3× 124 2.5k

Countries citing papers authored by Sanjeev Arora

Since Specialization
Citations

This map shows the geographic impact of Sanjeev 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 Sanjeev Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Arora more than expected).

Fields of papers citing papers by Sanjeev Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjeev 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 Sanjeev Arora. The network helps show where Sanjeev Arora may publish in the future.

Co-authorship network of co-authors of Sanjeev Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Arora. A scholar is included among the top collaborators of Sanjeev Arora 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 Sanjeev Arora. Sanjeev Arora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Arora, Sanjeev, et al.. (2023). Omentum Mimicking as a Vaginal Prolapse in a Delayed Vaginal Cuff Dehiscence. Cureus. 15(12). e50647–e50647.
2.
Dhiman, Radha K., Gagandeep Singh Grover, Madhumita Premkumar, et al.. (2021). Outcomes of real-world integrated HCV microelimination for people who inject drugs: an expansion of the punjab model. EClinicalMedicine. 41. 101148–101148. 14 indexed citations
3.
Mendizábal, Manuel, C. Ronchi, Federico Piñero, et al.. (2020). Pilot study using the ECHO model to enhance linkage to care for patients with hepatitis C in the custodial setting. Journal of Viral Hepatitis. 27(12). 1430–1436. 5 indexed citations
4.
Arora, Sanjeev, Boaz Barak, & David Steurer. (2015). Subexponential Algorithms for Unique Games and Related Problems. Journal of the ACM. 62(5). 1–25. 25 indexed citations
5.
Arora, Sanjeev, Boaz Barak, & David Steurer. (2010). Subexponential Algorithms for Unique Games and Related Problems. 563–572. 64 indexed citations
6.
Arora, Sanjeev & Boaz Barak. (2009). Computational Complexity: A Modern Approach. CERN Document Server (European Organization for Nuclear Research). 1028 indexed citations breakdown →
7.
Qualls, Clifford, et al.. (2009). Response to Therapy With Pegylated Interferon and Ribavirin for Chronic Hepatitis C in Hispanics Compared to Non-Hispanic Whites. The American Journal of Gastroenterology. 104(7). 1686–1692. 14 indexed citations
8.
Arora, Sanjeev & Boaz Barak. (2009). Computational Complexity: ADVANCED TOPICS. 336 indexed citations
9.
Arora, Sanjeev & Boaz Barak. (2009). Computational Complexity. Cambridge University Press eBooks. 760 indexed citations breakdown →
10.
Arora, Sanjeev, et al.. (2006). . Theory of Computing. 2(1). 19–51. 57 indexed citations
11.
Arora, Sanjeev, Christopher O’Brien, Stefan Zeuzem, et al.. (2006). Treatment of chronic hepatitis C patients with persistently normal alanine aminotransferase levels with the combination of peginterferon α‐2a (40 kDa) plus ribavirin: Impact on health‐related quality of life. Journal of Gastroenterology and Hepatology. 21(2). 406–412. 40 indexed citations
12.
Sulkowski, Mark, Teresa L. Wright, Stephen J. Rossi, et al.. (2005). Peginterferon Alfa-2a Does Not Alter the Pharmacokinetics of Methadone in Patients with Chronic Hepatitis C Undergoing Methadone Maintenance Therapy*. Clinical Pharmacology & Therapeutics. 77(3). 214–224. 25 indexed citations
13.
Rosenberg, Robert, et al.. (2004). Bouveret Syndrome. Radiographics. 24(4). 1171–1175. 55 indexed citations
14.
Arora, Sanjeev & Ravi Kannan. (2001). Learning mixtures of arbitrary gaussians. 247–257. 110 indexed citations
15.
Quinn, Patrick G., Mazen M. Jamal, Sanjeev Arora, et al.. (1999). A Case-Control Study of The Factors Associated With Spontaneous Resolution of Hepatitis C Viremia. The American Journal of Gastroenterology. 94(3). 668–673. 17 indexed citations
16.
Jamal, Mazen M., Anurag Soni, Patrick G. Quinn, et al.. (1999). Clinical features of hepatitis C-infected patients with persistently normal alanine transaminase levels in the southwestern United States. Hepatology. 30(5). 1307–1311. 106 indexed citations
17.
Arora, Sanjeev, Carsten Lund, Rajeev Motwani, Madhu Sudan, & Márió Szegedy. (1998). Proof verification and the hardness of approximation problems.. Electronic colloquium on computational complexity. 5. 14 indexed citations
18.
Arora, Sanjeev, et al.. (1998). Colonic mucosal concentrations of folate correlate well with blood measurements of folate status in persons with colorectal polyps. American Journal of Clinical Nutrition. 68(4). 866–872. 66 indexed citations
19.
Arora, Sanjeev & Ronald Fagin. (1997). On winning strategies in Ehrenfeucht-Fraïssé games. Theoretical Computer Science. 174(1-2). 97–121. 12 indexed citations
20.
Saltzman, John R. & Sanjeev Arora. (1993). Complications of esophageal variceal band ligation. Gastrointestinal Endoscopy. 39(2). 185–186. 35 indexed citations

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.

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