Pankaj Pathak

1.6k citations
52 papers · 1.1k · h-index 23

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics

Papers in

    • Glioma Diagnosis and Treatment 21
    • Epigenetics and DNA Methylation 6
    • Muscle Physiology and Disorders 3
    • Chromatin Remodeling and Cancer 3

Pankaj Pathak

51 papers receiving 1.1k citations

Peers

Pankaj Pathak
Comparison fields: 5 of 96
  • Genetics 529
  • Cancer Research 288
  • Neurology 109
  • Structural Biology 11
  • Molecular Biology 451
Replace Takafumi Nishizaki with:
Takafumi Nishizaki Japan
I‐Mei Siu United States
Hilary Blair United States
Kaishi Satomi Japan
Koji Oka Japan
Masahide Matsuda Japan
Arne Christians Germany
Kunzang Chosdol India
Tiffany R. Hodges United States
Brian Ahn United States
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Citations per field
00.5×11.4×
Takafumi Nishizaki · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Pankaj Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pankaj Pathak Line = papers co-authored together Pankaj Pathak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201399
2 201062
3 201756
4 201348
5 201441
6 201141
7 201140
8 201538
9 201037
10 201835
11 201034
12 201134
13 201133
14 201632
15 201427
16 202126
17 201625
18 201624
19 201724
20 201823

About Pankaj Pathak

Pankaj Pathak is a scholar working on Genetics, Molecular Biology, Cancer Research, Neurology and Epidemiology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (21 papers), Epigenetics and DNA Methylation (6 papers), Neuroblastoma Research and Treatments (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Muscle Physiology and Disorders (3 papers) and Chromatin Remodeling and Cancer (3 papers). The work is most often cited by research in Genetics (529 citations), Cancer Research (288 citations), Neurology (109 citations), Structural Biology (11 citations) and Molecular Biology (451 citations). Pankaj Pathak has collaborated with scholars based in India, United States and Norway. Frequent 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. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, Brain Tumor Pathology, Experimental and Molecular Pathology and Brain Pathology.

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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