Pavankumar Videm

2.6k citations
10 papers · 205 · h-index 8

Impact in

Papers in

    • RNA and protein synthesis mechanisms 5
    • Genomics and Phylogenetic Studies 3
    • RNA modifications and cancer 3
    • RNA Research and Splicing 3
    • Single-cell and spatial transcriptomics 1
    • MicroRNA in disease regulation 2
    • Cancer Genomics and Diagnostics 1

Pavankumar Videm

8 papers receiving 203 citations

Peers

Pavankumar Videm
Comparison fields: 5 of 54
  • Developmental Neuroscience 12
  • Aging 5
  • Molecular Biology 162
  • Cancer Research 34
  • Genetics 29
Replace Theodore Georgomanolis with:
Theodore Georgomanolis Germany
Ariane Watson Ireland
Hidenobu Miyazawa Japan
Martyna Lukoseviciute United Kingdom
Jiangwei Lin China
Vanessa Chong-Morrison United Kingdom
Luke C. Bartelt United States
Jerry Antone United States
Antonis Tatarakis United States
Maria Dvorkina United Kingdom
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Citations per field
00.5×1.7×
Theodore Georgomanolis · 1×
Citations per year

Countries citing papers authored by Pavankumar Videm

Since Specialization
Citations

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

Fields of papers citing papers by Pavankumar Videm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201483
2 201838
3 201729
4 201813
5 201413
6 201912
7 202110
8 20147
9 20250
10 20240

About Pavankumar Videm

Pavankumar Videm is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Genetics and Spectroscopy, having authored 10 papers that have together received 205 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), MicroRNA in disease regulation (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Developmental Neuroscience (12 citations), Aging (5 citations), Molecular Biology (162 citations), Cancer Research (34 citations) and Genetics (29 citations). Pavankumar Videm has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Rolf Backofen, Thomas Manke, Asifa Akhtar, Anne-Valérie Gendrel, Patrick R. Wright, Édith Heard, Friederike Dündar, Tuğçe Aktaş, Tasneem Khanam and Tomasz Chełmicki. Their work appears in journals such as Nucleic Acids Research, GigaScience, Bioinformatics, eLife and BMC 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.

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