Arshad A. Pandith

852 total citations
68 papers, 604 citations indexed

About

Arshad A. Pandith is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Arshad A. Pandith has authored 68 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 14 papers in Surgery and 14 papers in Oncology. Recurrent topics in Arshad A. Pandith's work include Bladder and Urothelial Cancer Treatments (10 papers), Epigenetics and DNA Methylation (10 papers) and Cancer-related Molecular Pathways (7 papers). Arshad A. Pandith is often cited by papers focused on Bladder and Urothelial Cancer Treatments (10 papers), Epigenetics and DNA Methylation (10 papers) and Cancer-related Molecular Pathways (7 papers). Arshad A. Pandith collaborates with scholars based in India, Saudi Arabia and United States. Arshad A. Pandith's co-authors include Mushtaq A. Siddiqi, Zafar A. Shah, Syed Mudassar, Mosin Saleem Khan, Nighat P. Khan, Mahboob Ul Hussain, Parveen Shah, Iqbal Qasim, Shariq Rashid Masoodi and Khursheed Alam Wani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Gene.

In The Last Decade

Arshad A. Pandith

57 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arshad A. Pandith India 14 323 139 114 112 87 68 604
Marianne Bach Treppendahl Denmark 16 496 1.5× 123 0.9× 97 0.9× 67 0.6× 77 0.9× 24 832
Yufang Zhu China 13 162 0.5× 131 0.9× 89 0.8× 31 0.3× 117 1.3× 41 518
Hanna Zielińska Poland 12 152 0.5× 106 0.8× 109 1.0× 76 0.7× 30 0.3× 31 479
Celina Montemayor United States 13 236 0.7× 157 1.1× 134 1.2× 29 0.3× 65 0.7× 27 558
Mona El-Hashimy United States 11 279 0.9× 91 0.7× 347 3.0× 65 0.6× 93 1.1× 19 708
Kathleen Woodruff United States 13 337 1.0× 92 0.7× 153 1.3× 57 0.5× 21 0.2× 20 577
Frances L. Swain United States 10 593 1.8× 91 0.7× 322 2.8× 73 0.7× 47 0.5× 11 885
Françoise Parmentier France 10 126 0.4× 60 0.4× 103 0.9× 122 1.1× 91 1.0× 16 482
Bin Fu China 14 314 1.0× 136 1.0× 74 0.6× 53 0.5× 163 1.9× 29 647
Sida Zhao China 11 209 0.6× 102 0.7× 62 0.5× 36 0.3× 106 1.2× 32 432

Countries citing papers authored by Arshad A. Pandith

Since Specialization
Citations

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

Fields of papers citing papers by Arshad A. Pandith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arshad A. Pandith. 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 Arshad A. Pandith. The network helps show where Arshad A. Pandith may publish in the future.

Co-authorship network of co-authors of Arshad A. Pandith

This figure shows the co-authorship network connecting the top 25 collaborators of Arshad A. Pandith. A scholar is included among the top collaborators of Arshad A. Pandith 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 Arshad A. Pandith. Arshad A. Pandith 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
2.
Pandith, Arshad A., et al.. (2024). Regulatory role of miR‐125a expression with respect to its target genes LIFR, ERBB2 and STAT3 in the pathogenesis of recurrent pregnancy losses. International Journal of Gynecology & Obstetrics. 166(3). 1285–1296.
4.
Pandith, Arshad A., Sheikh Mansoor, Rumana Makhdoomi, et al.. (2023). Differential expression of SLITRK6 gene as a potential therapeutic target for urothelial carcinoma in particular upper tract cancer. Gene. 878. 147583–147583. 3 indexed citations
5.
Pandith, Arshad A., et al.. (2021). Frequency of Recurrent Miscarriages in Kashmiri Population (a High Incidence Zone). International Journal of Health Sciences and Research. 11(2). 272–278. 1 indexed citations
6.
Pandith, Arshad A., et al.. (2021). High incidences of chromosomal aberrations and Y chromosome micro-deletions as prominent causes for recurrent pregnancy losses in highly ethnic and consanguineous population. Archives of Gynecology and Obstetrics. 305(6). 1393–1408. 4 indexed citations
8.
Pandith, Arshad A., et al.. (2016). Oncogenic Activation of Fibroblast Growth Factor Receptor-3 and RAS Genes as Non-Overlapping Mutual Exclusive Events in Urinary Bladder Cancer.. PubMed. 17(6). 2787–93. 5 indexed citations
10.
Khan, Mosin Saleem, Arshad A. Pandith, Shariq Rashid Masoodi, et al.. (2014). Epigenetic silencing of TSHR gene in thyroid cancer patients in relation to their BRAF V600E mutation status. Endocrine. 47(2). 449–455. 32 indexed citations
11.
Pandith, Arshad A., et al.. (2014). De novo Xp terminal deletion in a triple X female with recurrent spontaneous abortions: a case report. Journal of Genetics. 93(3). 819–822. 2 indexed citations
12.
Khan, Nighat P., Arshad A. Pandith, Mosin Saleem Khan, et al.. (2013). The XRCC1 Arg399Gln Gene Polymorphism and Risk of Colorectal Cancer: a Study in Kashmir. Asian Pacific Journal of Cancer Prevention. 14(11). 6779–6782. 13 indexed citations
13.
Khan, Mosin Saleem, Arshad A. Pandith, Mahboob Ul Hussain, et al.. (2012). Lack of mutational events of RAS genes in sporadic thyroid cancer but high risk associated with HRAS T81C single nucleotide polymorphism (case–control study). Tumor Biology. 34(1). 521–529. 13 indexed citations
14.
Pandith, Arshad A., et al.. (2012). Impact of codon 72 Arg > Pro single nucleotide polymorphism in TP53 gene in the risk of kangri cancer: a case control study in Kashmir. Tumor Biology. 33(4). 927–933. 10 indexed citations
15.
Aga, Syed Sameer, et al.. (2011). A Rare Case of FAP in Kashmir Valley. Indian Journal of Surgery. 73(3). 221–223. 1 indexed citations
16.
Pandith, Arshad A., et al.. (2011). Association of Bladder Cancer Risk with an NAD(P)H:Quinone Oxidoreductase Polymorphism in an Ethnic Kashmiri Population. Biochemical Genetics. 49(7-8). 417–426. 11 indexed citations
17.
Khan, Nighat P., Arshad A. Pandith, Mahboob Ul Hussain, et al.. (2011). Novelty of Axin 2 and lack of Axin 1 gene mutation in colorectal cancer: a study in Kashmiri population. Molecular and Cellular Biochemistry. 355(1-2). 149–155. 17 indexed citations
18.
Pandith, Arshad A., et al.. (2011). HRAS T81C polymorphism modulates risk of urinary bladder cancer and predicts advanced tumors in ethnic Kashmiri population. Urologic Oncology Seminars and Original Investigations. 31(4). 487–492. 13 indexed citations
19.
Pandith, Arshad A., Zafar A. Shah, & Mushtaq A. Siddiqi. (2010). Oncogenic role of fibroblast growth factor receptor 3 in tumorigenesis of urinary bladder cancer. Urologic Oncology Seminars and Original Investigations. 31(4). 398–406. 45 indexed citations
20.
Pandith, Arshad A., Zafar A. Shah, Nighat P. Khan, et al.. (2010). Role of TP53 Arg72Pro polymorphism in urinary bladder cancer predisposition and predictive impact of proline related genotype in advanced tumors in an ethnic Kashmiri population. Cancer Genetics and Cytogenetics. 203(2). 263–268. 23 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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