Rohit Mathur

1.9k citations
34 papers · 1.4k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Advanced biosensing and bioanalysis techniques

Papers in

    • RNA modifications and cancer 4
    • Cell death mechanisms and regulation 3
    • CAR-T cell therapy research 7
    • Viral-associated cancers and disorders 3

Rohit Mathur

34 papers receiving 1.4k citations

Peers

Rohit Mathur
Comparison fields: 5 of 93
  • Cancer Research 628
  • Molecular Biology 909
  • Oncology 265
  • Immunology 159
  • Pathology and Forensic Medicine 84
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Guopei Zheng China
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Ángel Guerrero‐Zotano Spain
Weijian Guo China
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Citations per field
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Citations per year

Countries citing papers authored by Rohit Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rohit Mathur, 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 Rohit Mathur Line = papers co-authored together Rohit Mathur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cancer biomarkers - current perspectives.
2010175
2 2013166
3 2013150
4 2011127
5 2014126
6 201683
7 201364
8 201962
9 201161
10 201855
11 201655
12 201545
13 201540
14 200538
15 201735
16 201630
17 201422
18 201418
19 201517
20
Inhibitors of topoisomerases as anticancer drugs: problems and prospects.
200415

About Rohit Mathur

Rohit Mathur is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Cell death mechanisms and regulation (3 papers), Neuroblastoma Research and Treatments (3 papers), Viral-associated cancers and disorders (3 papers), Immune Cell Function and Interaction (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (628 citations), Molecular Biology (909 citations), Oncology (265 citations), Immunology (159 citations) and Pathology and Forensic Medicine (84 citations). Rohit Mathur has collaborated with scholars based in United States, India and China. Frequent co-authors include Bilikere S. Dwarakanath, Guohui Wan, Xiaoxiao Hu, Xiongbin Lu, Felipe Samaniego, Amit Verma, Abdullah Farooque, Lalit Sehgal, Xinna Zhang and Anant Narayan Bhatt. Their work appears in journals such as Blood, Leukemia, Journal of Hematology & Oncology, PLoS ONE and Cancer Biology & Therapy.

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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