Pankaj Pathak

1.5k total citations
54 papers, 1.1k citations indexed

About

Pankaj Pathak is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Pankaj Pathak has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 21 papers in Genetics and 15 papers in Cancer Research. Recurrent topics in Pankaj Pathak's work include Glioma Diagnosis and Treatment (21 papers), Epigenetics and DNA Methylation (9 papers) and MicroRNA in disease regulation (8 papers). Pankaj Pathak is often cited by papers focused on Glioma Diagnosis and Treatment (21 papers), Epigenetics and DNA Methylation (9 papers) and MicroRNA in disease regulation (8 papers). Pankaj Pathak collaborates with scholars based in India, United States and Saudi Arabia. Pankaj Pathak's co-authors include Chitra Sarkar, Vaishali Suri, Mehar Chand Sharma, Prerana Jha, Ashish Suri, Vikas Sharma, Prit Benny Malgulwar, Suvendu Purkait, Kunzang Chosdol and Pankaj Jha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Neurochemistry.

In The Last Decade

Pankaj Pathak

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pankaj Pathak India 22 584 545 359 196 172 54 1.1k
David Shih United States 16 533 0.9× 668 1.2× 230 0.6× 113 0.6× 129 0.8× 35 1.1k
Masamitsu Nishihara Japan 16 341 0.6× 410 0.8× 369 1.0× 131 0.7× 257 1.5× 45 956
Xiaoguang Qiu China 19 726 1.2× 387 0.7× 334 0.9× 295 1.5× 99 0.6× 81 1.2k
Hilary Blair United States 12 703 1.2× 429 0.8× 319 0.9× 249 1.3× 152 0.9× 17 1.2k
Takafumi Nishizaki Japan 18 396 0.7× 477 0.9× 325 0.9× 112 0.6× 235 1.4× 62 1.3k
Tiffany R. Hodges United States 19 722 1.2× 316 0.6× 309 0.9× 289 1.5× 188 1.1× 43 1.5k
A. Guha United States 15 359 0.6× 383 0.7× 169 0.5× 162 0.8× 333 1.9× 23 1.1k
Prakash Shetty India 21 598 1.0× 290 0.5× 184 0.5× 164 0.8× 179 1.0× 111 1.1k
J.-C. Tonn Germany 15 724 1.2× 541 1.0× 231 0.6× 318 1.6× 149 0.9× 23 1.4k
Arne Christians Germany 12 1.2k 2.1× 664 1.2× 608 1.7× 247 1.3× 260 1.5× 17 1.6k

Countries citing papers authored by Pankaj Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Pathak

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Pathak. A scholar is included among the top collaborators of Pankaj Pathak 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 Pankaj Pathak. Pankaj Pathak 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.
Joshi, Sujata, et al.. (2024). Harnessing the potential of generative AI in digital marketing using the Behavioral Reasoning Theory approach. International Journal of Information Management Data Insights. 5(1). 100317–100317. 9 indexed citations
2.
Pathak, Pankaj, Kalpana Subedi, Ilda B. Molloy, et al.. (2021). Myopathy associated LDB3 mutation causes Z-disc disassembly and protein aggregation through PKCα and TSC2-mTOR downregulation. Communications Biology. 4(1). 355–355. 25 indexed citations
3.
Choudhary, Anita, et al.. (2021). Practical application of Langhana therapy in the management of dyslipidaemia. SHILAP Revista de lepidopterología. 4(3). 111–114.
4.
Pathak, Pankaj, Sambhunath Das, Suruchi Hasija, et al.. (2021). Effect of change in tidal volume on left to right shunt across ventricular septal defect in children – A pilot study. Annals of Pediatric Cardiology. 14(3). 350–355. 1 indexed citations
5.
Malgulwar, Prit Benny, Aanchal Kakkar, Pankaj Pathak, et al.. (2019). Loss of SMARCB1/INI1 Immunoexpression in Chordoid Meningiomas. Neurology India. 67(6). 1492–1492. 1 indexed citations
6.
7.
Kumar, Anupam, Subhashree Nayak, Pankaj Pathak, et al.. (2018). Identification of miR-379/miR-656 (C14MC) cluster downregulation and associated epigenetic and transcription regulatory mechanism in oligodendrogliomas. Journal of Neuro-Oncology. 139(1). 23–31. 21 indexed citations
8.
Malgulwar, Prit Benny, Aruna Nambirajan, Pankaj Pathak, et al.. (2018). Epithelial-to-mesenchymal transition–related transcription factors are up-regulated in ependymomas and correlate with a poor prognosis. Human Pathology. 82. 149–157. 22 indexed citations
9.
Malgulwar, Prit Benny, Aruna Nambirajan, Pankaj Pathak, et al.. (2017). Study of β-catenin and BRAF alterations in adamantinomatous and papillary craniopharyngiomas: mutation analysis with immunohistochemical correlation in 54 cases. Journal of Neuro-Oncology. 133(3). 487–495. 19 indexed citations
10.
Kakkar, Aanchal, Anupam Kumar, Manjari Tripathi, et al.. (2016). Alterations in BRAF gene, and enhanced mTOR and MAPK signaling in dysembryoplastic neuroepithelial tumors (DNTs). Epilepsy Research. 127. 141–151. 24 indexed citations
11.
Purkait, Suvendu, Supriya Mallick, Vikas Sharma, et al.. (2016). A simplified approach for molecular classification of glioblastomas (GBMs): experience from a tertiary care center in India. Brain Tumor Pathology. 33(3). 183–190. 5 indexed citations
12.
Sharma, Vikas, Suvendu Purkait, Prit Benny Malgulwar, et al.. (2016). Analysis of EZH2: micro-RNA network in low and high grade astrocytic tumors. Brain Tumor Pathology. 33(2). 117–128. 15 indexed citations
13.
14.
Pathak, Pankaj, Prerana Jha, Suvendu Purkait, et al.. (2014). Altered global histone-trimethylation code and H3F3A-ATRX mutation in pediatric GBM. Journal of Neuro-Oncology. 121(3). 489–497. 41 indexed citations
15.
Yadav, Rajni, Mehar Chand Sharma, Prit Benny Malgulwar, et al.. (2013). Prognostic value of MIB-1, p53, epidermal growth factor receptor, and INI1 in childhood chordomas. Neuro-Oncology. 16(3). 372–381. 48 indexed citations
16.
Jha, Prerana, Vaishali Suri, Pankaj Jha, et al.. (2011). Characterization of Molecular Genetic Alterations in GBMs Highlights a Distinctive Molecular Profile in Young Adults. Diagnostic Molecular Pathology. 20(4). 225–232. 41 indexed citations
17.
Jha, Prerana, Vaishali Suri, Vikas Sharma, et al.. (2011). IDH1 mutations in gliomas: First series from a tertiary care centre in India with comprehensive review of literature. Experimental and Molecular Pathology. 91(1). 385–393. 32 indexed citations
18.
Kakkar, Aanchal, Prerana Jha, Arti Srivastava, et al.. (2011). Loss of heterozygosity on chromosome 10q in glioblastomas, and its association with other genetic alterations and survival in Indian patients. Neurology India. 59(2). 254–254. 19 indexed citations
19.
Kumar, Sudhir, Raza Ali Naqvi, Neena Khanna, Pankaj Pathak, & D. N. Rao. (2011). Th3 Immune responses in the progression of leprosy via molecular cross-talks of TGF-β, CTLA-4 and Cbl-b. Clinical Immunology. 141(2). 133–142. 34 indexed citations
20.
Pathak, Pankaj, Chitra Sarkar, Prerana Jha, et al.. (2010). Limb girdle muscular dystrophy type 2A in India: A study based on semi-quantitative protein analysis, with clinical and histopathological correlation. Neurology India. 58(4). 549–549. 33 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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