Arvind Singh Mer
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
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- Cancer Cells and Metastasis
Papers in
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- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 4
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 2
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- Cancer Genomics and Diagnostics 8
- Co-authors
- Benjamin Haibe‐Kains (11 shared papers)Petr Smirnov (7 shared papers)Ming‐Sound Tsao (4 shared papers)Geoffrey Liu (1 shared paper)Ruoshi Shi (1 shared paper)Hirotsugu Notsuda (2 shared papers)Laura Tamblyn (1 shared paper)Nikolina Radulovich (2 shared papers)
- Journals
- Cancer Research (4 papers)Clinical Cancer Research (2 papers)Nucleic Acids Research (2 papers)Scientific Reports (2 papers)Briefings in Bioinformatics (1 paper)
- Partner nations
- CanadaSwedenUnited States
In The Last Decade
Arvind Singh Mer
21 papers receiving 598 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 180
- Oncology 174
- Hematology 48
- Molecular Biology 269
- Biotechnology 32
Countries citing papers authored by Arvind Singh Mer
This map shows the geographic impact of Arvind Singh Mer'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 Arvind Singh Mer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Singh Mer more than expected).
Fields of papers citing papers by Arvind Singh Mer
This network shows the impact of papers produced by Arvind Singh Mer. 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 Arvind Singh Mer. The network helps show where Arvind Singh Mer may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Singh Mer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 216 | |
| 2 | 2018 | 72 | |
| 3 | 2017 | 65 | |
| 4 | 2017 | 47 | |
| 5 | 2021 | 41 | |
| 6 | 2018 | 41 | |
| 7 | 2019 | 30 | |
| 8 | 2021 | 20 | |
| 9 | 2015 | 17 | |
| 10 | 2011 | 14 | |
| 11 | 2013 | 10 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2017 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2023 | 1 |
About Arvind Singh Mer
Arvind Singh Mer is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Pharmacology and Cell Biology, having authored 26 papers that have together received 607 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers), Genomics and Chromatin Dynamics (3 papers), Cell Image Analysis Techniques (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (180 citations), Oncology (174 citations), Hematology (48 citations), Molecular Biology (269 citations) and Biotechnology (32 citations). Arvind Singh Mer has collaborated with scholars based in Canada, Sweden and United States. Frequent co-authors include Benjamin Haibe‐Kains, Petr Smirnov, Ming‐Sound Tsao, Geoffrey Liu, Ruoshi Shi, Hirotsugu Notsuda, Laura Tamblyn, Nikolina Radulovich, Sebastião N. Martins-Filho and Nhu‐An Pham. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Nucleic Acids Research, Scientific Reports and Briefings in Bioinformatics.
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.