Atul Rawat

997 total citations
33 papers, 767 citations indexed

About

Atul Rawat is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Atul Rawat has authored 33 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Epidemiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Atul Rawat's work include Metabolomics and Mass Spectrometry Studies (13 papers), Liver Disease Diagnosis and Treatment (7 papers) and Wound Healing and Treatments (4 papers). Atul Rawat is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (13 papers), Liver Disease Diagnosis and Treatment (7 papers) and Wound Healing and Treatments (4 papers). Atul Rawat collaborates with scholars based in India, United States and Saudi Arabia. Atul Rawat's co-authors include Dinesh Kumar, Sudipta Saha, Anand Prakash, Anupam Guleria, Amit K. Keshari, Pranesh Kumar, Ashok Kumar Singh, Durgesh Dubey, Umesh Kumar and Gaurav Kaithwas and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and Annals of the Rheumatic Diseases.

In The Last Decade

Atul Rawat

31 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atul Rawat India 16 341 105 93 88 71 33 767
Weiwei Cai China 18 371 1.1× 94 0.9× 109 1.2× 87 1.0× 63 0.9× 47 896
Yong‐Yu Yang China 15 456 1.3× 108 1.0× 101 1.1× 80 0.9× 80 1.1× 31 817
Jin‐Nyoung Ho South Korea 18 482 1.4× 105 1.0× 91 1.0× 41 0.5× 89 1.3× 51 924
Hye Yeon Choi South Korea 12 362 1.1× 75 0.7× 158 1.7× 156 1.8× 144 2.0× 17 983
Shuya Yamashita Japan 20 448 1.3× 125 1.2× 64 0.7× 42 0.5× 74 1.0× 41 1.1k
Jie Hao China 22 544 1.6× 143 1.4× 134 1.4× 75 0.9× 118 1.7× 58 1.2k
Yingying Luo China 18 508 1.5× 138 1.3× 63 0.7× 28 0.3× 45 0.6× 50 1.0k
Vikram Khedgikar India 19 599 1.8× 98 0.9× 58 0.6× 62 0.7× 78 1.1× 34 1.0k
Abhinav Kanwal India 17 351 1.0× 29 0.3× 115 1.2× 90 1.0× 167 2.4× 43 853

Countries citing papers authored by Atul Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Atul Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atul Rawat

This figure shows the co-authorship network connecting the top 25 collaborators of Atul Rawat. A scholar is included among the top collaborators of Atul Rawat 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 Atul Rawat. Atul Rawat 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.
Dubey, Durgesh, et al.. (2023). The metabolic fingerprint of chronic hepatitis C progression: Metabolome shifts and cutting‐edge diagnostic options. Journal of Molecular Recognition. 37(1). e3066–e3066. 1 indexed citations
2.
Rawat, Atul, Mithilesh Kumar Jha, & Brett M. Morrison. (2023). Adoptive cell transfer of macrophages following peripheral nerve injury in mice. STAR Protocols. 4(4). 102624–102624. 1 indexed citations
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Das, Amitava, Nirupam Biswas, Nandini Ghosh, et al.. (2021). Oncostatin M Improves Cutaneous Wound Re-Epithelialization and Is Deficient under Diabetic Conditions. Journal of Investigative Dermatology. 142(3). 679–691.e3. 9 indexed citations
6.
Jha, Mithilesh Kumar, Atul Rawat, Fang Yang, et al.. (2021). Macrophage monocarboxylate transporter 1 promotes peripheral nerve regeneration after injury in mice. Journal of Clinical Investigation. 131(21). 64 indexed citations
7.
Rawat, Atul & Brett M. Morrison. (2021). Metabolic Transporters in the Peripheral Nerve—What, Where, and Why?. Neurotherapeutics. 18(4). 2185–2199. 10 indexed citations
8.
Gupta, Latika, Anupam Guleria, Atul Rawat, Dinesh Kumar, & Amita Aggarwal. (2020). NMR‐based clinical metabolomics revealed distinctive serum metabolic profiles in patients with spondyloarthritis. Magnetic Resonance in Chemistry. 59(2). 85–98. 16 indexed citations
9.
Rawat, Atul, et al.. (2020). 1H NMR-Based Metabolic Signatures in the Liver and Brain in a Rat Model of Hepatic Encephalopathy. Journal of Proteome Research. 19(9). 3668–3679. 6 indexed citations
10.
Rawat, Atul, et al.. (2018). 1H NMR based serum metabolic profiling reveals differentiating biomarkers in patients with diabetes and diabetes-related complication. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(1). 290–298. 19 indexed citations
11.
Gautam, Swetlana, Atul Rawat, Shreesh Raj Sammi, et al.. (2018). DuCLOX-2/5 Inhibition Attenuates Inflammatory Response and Induces Mitochondrial Apoptosis for Mammary Gland Chemoprevention. Frontiers in Pharmacology. 9. 314–314. 14 indexed citations
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Keshari, Amit K., Ashok Kumar Singh, Vinit Raj, et al.. (2017). <em>p</em>-TSA-promoted syntheses of 5H-benzo[h]thiazolo[2,3-b]quinazoline and indeno[1,2-d]thiazolo[3,2-a]pyrimidine analogs: molecular modeling and in vitro antitumor activity against hepatocellular carcinoma. Drug Design Development and Therapy. Volume 11. 1623–1642. 29 indexed citations
14.
Singh, Ashok Kumar, Vinit Raj, Amit K. Keshari, et al.. (2017). Isolated mangiferin and naringenin exert antidiabetic effect via PPARγ/GLUT4 dual agonistic action with strong metabolic regulation. Chemico-Biological Interactions. 280. 33–44. 83 indexed citations
15.
Gupta, Anju, Vinod Kumar, Ritambhra Nada, et al.. (2017). 365 Profile of henoch schonlein purpura (hsp) nephritis: 23 years experience at a tertiary care centre in north india. A161.1–A161. 1 indexed citations
16.
Guleria, Anupam, Durgesh Dubey, Atul Rawat, et al.. (2016). NMR based serum metabolomics reveals a distinctive signature in patients with Lupus Nephritis. Scientific Reports. 6(1). 35309–35309. 79 indexed citations
17.
Keshari, Amit K., Monika Bhardwaj, Pranesh Kumar, et al.. (2016). Isolated flavonoids from Ficus racemosa stem bark possess antidiabetic, hypolipidemic and protective effects in albino Wistar rats. Journal of Ethnopharmacology. 181. 252–262. 67 indexed citations
18.
Kumar, Dinesh, Gaurav Pandey, Deepak Bansal, et al.. (2016). NMR‐based urinary profiling of lactulose/mannitol ratio used to assess the altered intestinal permeability in acute on chronic liver failure (ACLF) patients. Magnetic Resonance in Chemistry. 55(4). 289–296. 9 indexed citations
19.
Kumar, Pranesh, Atul Rawat, Amit K. Keshari, et al.. (2015). Antiproliferative effect of isolated isoquinoline alkaloid fromMucuna pruriensseeds in hepatic carcinoma cells. Natural Product Research. 30(4). 460–463. 23 indexed citations
20.
Puri, V.K., Atul Rawat, Aseem Sharma, et al.. (1986). Sulphinpyrazone and the platelet serotoninergic mechanism in ischaemic heart disease.. BMJ. 293(6547). 591–593. 6 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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