Nitish Mittal

726 total citations
39 papers, 492 citations indexed

About

Nitish Mittal is a scholar working on Cellular and Molecular Neuroscience, Information Systems and Molecular Biology. According to data from OpenAlex, Nitish Mittal has authored 39 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Nitish Mittal's work include Software Testing and Debugging Techniques (6 papers), Software Reliability and Analysis Research (6 papers) and Receptor Mechanisms and Signaling (6 papers). Nitish Mittal is often cited by papers focused on Software Testing and Debugging Techniques (6 papers), Software Reliability and Analysis Research (6 papers) and Receptor Mechanisms and Signaling (6 papers). Nitish Mittal collaborates with scholars based in United States, India and Canada. Nitish Mittal's co-authors include Wendy Walwyn, Christopher J. Evans, Hélène Beaudry, Louis Gendron, Ashish Sureka, Christine L. Duvauchelle, Alex S. James, J. David Jentsch, Michael S. Levine and Carlos Cepeda and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Environmental Health Perspectives.

In The Last Decade

Nitish Mittal

33 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitish Mittal United States 10 257 228 121 44 37 39 492
Chang You United States 13 212 0.8× 215 0.9× 45 0.4× 56 1.3× 34 0.9× 32 524
Tatjana Petrov Switzerland 11 92 0.4× 126 0.6× 88 0.7× 35 0.8× 60 1.6× 31 418
Chengyu Sun China 8 129 0.5× 123 0.5× 59 0.5× 44 1.0× 21 0.6× 16 452
Afshin Gharib United States 6 72 0.3× 201 0.9× 134 1.1× 59 1.3× 17 0.5× 10 582
Soomaayeh Heysieattalab Iran 11 176 0.7× 122 0.5× 131 1.1× 124 2.8× 19 0.5× 37 521
Scott L. Mitchell United States 6 310 1.2× 297 1.3× 48 0.4× 86 2.0× 12 0.3× 14 539
Alan de Araujo United States 12 53 0.2× 85 0.4× 118 1.0× 28 0.6× 21 0.6× 21 460
Eduardo Calixto Mexico 13 254 1.0× 165 0.7× 56 0.5× 126 2.9× 17 0.5× 31 558
Wenting Fang China 12 95 0.4× 217 1.0× 181 1.5× 81 1.8× 71 1.9× 20 588
Lin Pei China 7 201 0.8× 218 1.0× 32 0.3× 16 0.4× 15 0.4× 12 366

Countries citing papers authored by Nitish Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Nitish Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitish Mittal

This figure shows the co-authorship network connecting the top 25 collaborators of Nitish Mittal. A scholar is included among the top collaborators of Nitish Mittal 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 Nitish Mittal. Nitish Mittal 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.
Shatila, Malek, et al.. (2025). Predictive Value of FDG Uptake on PET for Future Immune Checkpoint Inhibitor-Mediated Colitis: A Case Series. Journal of Clinical Medicine. 14(1). 256–256.
2.
Mittal, Nitish, et al.. (2025). Diagnosis and Management of Acute Pancreatitis. Diagnostics. 15(3). 258–258. 5 indexed citations
3.
4.
Mittal, Nitish, et al.. (2024). S5103 A Rare Case of Collagenous Gastritis, Enteritis, and Colitis in an Elderly Female. The American Journal of Gastroenterology. 119(10S). S3203–S3204.
5.
Shatila, Malek, et al.. (2024). S3844 Atypical Presentations of Immune Checkpoint Inhibitor Colitis on 18-FDG PET/CT: A Case Series. The American Journal of Gastroenterology. 119(10S). S2514–S2514.
6.
Mittal, Nitish, et al.. (2024). S2897 Rectal Ulcer and Fistula Development in a Cancer Patient on Immune Checkpoint Inhibitor Immunotherapy: A Case Report. The American Journal of Gastroenterology. 119(10S). S1991–S1991.
7.
Mohamed, Ahmed A., Kanak Parmar, Nitish Mittal, et al.. (2023). Cardiac Muscle Injury and Echocardiographic Plus Electrocardiographic Findings in Patients With 2019 Novel Coronavirus (COVID-19): A Retrospective Cohort Study. CJC Open. 6(2). 108–117. 1 indexed citations
8.
Mittal, Nitish, Sheila M. Fleming, Richard L. Bell, et al.. (2019). Sex differences in cognitive performance and alcohol consumption in High Alcohol-Drinking (HAD-1) rats. Behavioural Brain Research. 381. 112456–112456. 6 indexed citations
9.
10.
Mittal, Nitish, et al.. (2017). Alcohol-naïve USVs distinguish male HAD-1 from LAD-1 rat strains. Alcohol. 68. 9–17. 5 indexed citations
11.
Mittal, Nitish, W. Todd Maddox, Timothy Schallert, & Christine L. Duvauchelle. (2017). Rodent ultrasonic vocalizations as biomarkers of future alcohol use: A predictive analytic approach. Cognitive Affective & Behavioral Neuroscience. 18(1). 88–98. 8 indexed citations
12.
Bansal, Priti, Sangeeta Sabharwal, & Nitish Mittal. (2017). A Hybrid Artificial Bee Colony and Harmony Search Algorithm to Generate Covering Arrays for Pair-wise Testing. International Journal of Intelligent Systems and Applications. 9(8). 59–70. 2 indexed citations
13.
Mittal, Nitish, Joshua K. Hakimian, Nina Desai, et al.. (2017). Beta-arrestin 1 regulation of reward-motivated behaviors and glutamatergic function. PLoS ONE. 12(10). e0185796–e0185796. 4 indexed citations
14.
Mittal, Nitish, et al.. (2016). Exploring a need for improved preclinical models of post-stroke depression. Neural Regeneration Research. 11(4). 561–561. 5 indexed citations
15.
Sabharwal, Sangeeta, et al.. (2015). Construction of Strength Two Mixed Covering Arrays Using Greedy Mutation in Genetic Algorithm. International Journal of Information Technology and Computer Science. 7(10). 23–34. 1 indexed citations
16.
Mittal, Nitish, et al.. (2015). So you think you can jump? A novel long jump assessment to detect deficits in stroked mice. Journal of Neuroscience Methods. 256. 212–219. 5 indexed citations
17.
Cui, Yijun, Sean B. Ostlund, Alex S. James, et al.. (2014). Targeted expression of μ-opioid receptors in a subset of striatal direct-pathway neurons restores opiate reward. Nature Neuroscience. 17(2). 254–261. 110 indexed citations
18.
James, Alex S., Jane Chen, Carlos Cepeda, et al.. (2013). Opioid self-administration results in cell-type specific adaptations of striatal medium spiny neurons. Behavioural Brain Research. 256. 279–283. 24 indexed citations
19.
Mittal, Nitish, Kasturi Pal, Laurent A. Bentolila, et al.. (2013). Select G-Protein-Coupled Receptors Modulate Agonist-Induced Signaling via a ROCK, LIMK, and β-Arrestin 1 Pathway. Cell Reports. 5(4). 1010–1021. 43 indexed citations
20.
Mittal, Nitish, Miao Tan, Nina Desai, et al.. (2012). Evidence that Behavioral Phenotypes of Morphine in β-arr2−/− Mice Are Due to the Unmasking of JNK Signaling. Neuropsychopharmacology. 37(8). 1953–1962. 30 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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