Arnab Pal

1.5k total citations
85 papers, 1.0k citations indexed

About

Arnab Pal is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Arnab Pal has authored 85 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Epidemiology. Recurrent topics in Arnab Pal's work include Head and Neck Cancer Studies (6 papers), Acne and Rosacea Treatments and Effects (6 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Arnab Pal is often cited by papers focused on Head and Neck Cancer Studies (6 papers), Acne and Rosacea Treatments and Effects (6 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Arnab Pal collaborates with scholars based in India, United States and United Kingdom. Arnab Pal's co-authors include Sanjay Jain, Gursimer Jeet, Sanjeev Handa, Dipankar De, JS Thakur, Rajiv Saran, Naresh Sachdeva, Rajendra Prasad, Jaya Prasad Tripathy and Shalmoli Bhattacharyya and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Arnab Pal

77 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnab Pal India 17 206 166 162 138 96 85 1.0k
Vir Singh Negi India 21 232 1.1× 56 0.3× 129 0.8× 88 0.6× 96 1.0× 108 1.4k
Colleen Pelser United States 11 87 0.4× 40 0.2× 110 0.7× 56 0.4× 99 1.0× 16 828
Karen E. Hansen United States 27 236 1.1× 106 0.6× 149 0.9× 38 0.3× 130 1.4× 63 1.8k
Antonio Gallo France 21 181 0.9× 264 1.6× 146 0.9× 38 0.3× 90 0.9× 85 1.1k
Jay Patel United Kingdom 18 212 1.0× 242 1.5× 202 1.2× 10 0.1× 133 1.4× 57 1.1k
Li-Sheng Chen Taiwan 16 106 0.5× 39 0.2× 123 0.8× 35 0.3× 61 0.6× 34 858
Pamir Atagündüz Türkiye 22 331 1.6× 65 0.4× 130 0.8× 70 0.5× 55 0.6× 64 1.7k
Yahya Mahamat‐Saleh France 18 110 0.5× 47 0.3× 153 0.9× 72 0.5× 136 1.4× 41 1.1k
Michael Garshick United States 15 174 0.8× 53 0.3× 150 0.9× 129 0.9× 29 0.3× 74 1.0k
C. Daïen France 27 297 1.4× 53 0.3× 224 1.4× 56 0.4× 85 0.9× 77 2.2k

Countries citing papers authored by Arnab Pal

Since Specialization
Citations

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

Fields of papers citing papers by Arnab Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnab Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Arnab Pal. A scholar is included among the top collaborators of Arnab Pal 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 Arnab Pal. Arnab Pal 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.
Kaur, Prabhjot, Ashok Kumar Yadav, Arnab Pal, et al.. (2024). Estimation of dietary intake of sodium, potassium, phosphorus and protein in healthy Indian population and patients with chronic kidney disease. Frontiers in Nutrition. 11. 1312581–1312581.
2.
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Arora, Kanika, Mandeep Kaur, Ritesh Agarwal, et al.. (2024). Innate and adaptive immune responses in subjects with CPA secondary to post‐pulmonary tuberculosis lung abnormalities. Mycoses. 67(5). e13746–e13746. 3 indexed citations
4.
Patel, Krishna, Ashish Aggarwal, Tulika Gupta, et al.. (2024). Molecular Basis of Cerebral Vasospasm: What Can We Learn from Transcriptome and Temporal Gene Expression Profiling in Intracranial Aneurysm?. OMICS A Journal of Integrative Biology. 28(5). 234–245. 1 indexed citations
5.
Khan, Aafaque Ahmad, Roshan Verma, Jaimanti Bakshi, et al.. (2024). A proteomic analysis identifies higher AHSG (Alpha-2-HS-glycoprotein) in saliva of oropharyngeal cancer patients – A potential salivary biomarker. SHILAP Revista de lepidopterología. 10. 100478–100478. 2 indexed citations
6.
Pal, Arnab, et al.. (2024). Recent advances in minimally invasive biomarkers of OSCC: from generalized to personalized approach. SHILAP Revista de lepidopterología. 5. 1426507–1426507. 11 indexed citations
7.
Pal, Arnab, Meenakshi Sachdeva, Jaimanti Bakshi, et al.. (2024). A FACS-based novel isolation technique identifies heterogeneous CTCs in oral squamous cell carcinoma. Frontiers in Oncology. 14. 1269211–1269211. 8 indexed citations
8.
Samra, Tanvir, Vinod Kumar, Raja Ramachandran, et al.. (2024). Utility of Urinary Biomarkers for Diagnosis of Acute Kidney Injury (AKI) in COVID-19. Indian Journal of Clinical Biochemistry. 40(4). 636–643. 1 indexed citations
9.
Sharma, Swati, Alka Bhatia, Shobhit Bhansali, et al.. (2023). Dose–Response Evaluation of Scopoletin, a Phytochemical, in a High-Fructose High-Fat Diet-Induced Dyslipidemia Model in Wistar Rats. Journal of Medicinal Food. 26(5). 319–327. 2 indexed citations
10.
Dhatt, Sarvdeep Singh, et al.. (2023). Prognosticating acute traumatic spinal cord injury using Neurofilament (NF), Neuron Specific Enolase (NSE), Matrix Metalloproteinases (MMPs), and S-100B as biomarkers. Irish Journal of Medical Science (1971 -). 193(2). 769–775. 2 indexed citations
11.
Dutta, Sourabh, Naresh Sachdeva, Arnab Pal, & Pallab Ray. (2022). Cerebrospinal fluid and plasma procalcitonin for the diagnosis of neonatal bacterial meningitis. Journal of Paediatrics and Child Health. 58(8). 1425–1430. 10 indexed citations
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Bhat, Shabir Ahmad, et al.. (2021). Gene of the month: Cornulin. Journal of Clinical Pathology. 75(5). 289–291. 4 indexed citations
14.
Bishnoi, Anuradha, Sanjeev Handa, Pinaki Dutta, et al.. (2021). Effects of metformin on experimentally induced acne on rabbit ear. Experimental Dermatology. 30(7). 966–972. 3 indexed citations
15.
Sehgal, Inderpaul Singh, Sahajal Dhooria, Kuruswamy Thurai Prasad, et al.. (2021). A Randomized Trial of Mycobacterium w in Severe Presumed Gram-Negative Sepsis. CHEST Journal. 160(4). 1282–1291. 10 indexed citations
16.
Bhat, Firdous Ahmad, Jayshree Advani, Aafaque Ahmad Khan, et al.. (2018). A network map of thrombopoietin signaling. Journal of Cell Communication and Signaling. 12(4). 737–743. 17 indexed citations
17.
Thakur, JS, Gursimer Jeet, Arnab Pal, et al.. (2016). Profile of Risk Factors for Non-Communicable Diseases in Punjab, Northern India: Results of a State-Wide STEPS Survey. PLoS ONE. 11(7). e0157705–e0157705. 70 indexed citations
18.
Tripathy, Jaya Prasad, JS Thakur, Gursimer Jeet, et al.. (2016). Burden and risk factors of dyslipidemia-results from a STEPS survey in Punjab India. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 11. S21–S27. 28 indexed citations
19.
Datta, Sudip Kumar, et al.. (2015). Increasing Glucose Concentrations Interfere with Estimation of Electrolytes by Indirect Ion Selective Electrode Method. Indian Journal of Clinical Biochemistry. 31(2). 224–230. 8 indexed citations
20.
Pal, Arnab, et al.. (2014). Clinico-Hematologic And Biochemical Profile Of Dimorphic Anemia With Bone Marrow Study. 6(1). 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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