Yatendra Kumar

647 citations
12 papers · 384 · h-index 7

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering

Papers in

    • Genomics and Chromatin Dynamics 7
    • RNA Research and Splicing 3
    • Ubiquitin and proteasome pathways 2
    • RNA and protein synthesis mechanisms 1
    • Blind Source Separation Techniques 2

Yatendra Kumar

12 papers receiving 383 citations

Peers

Yatendra Kumar
Comparison fields: 5 of 48
  • Molecular Biology 333
  • Cancer Research 30
  • Aging 3
  • Plant Science 53
  • Genetics 33
Replace Melodi Tastemel with:
Melodi Tastemel United States
Bobbie Pelham‐Webb United States
Abderhman Abuhashem United States
Sora Chee United States
William F. Richter United States
Marjolein van Sluis Ireland
Céline Courilleau France
Haizhen Long China
Zhaonan Zou Japan
Yatendra Kumar relative to Melodi Tastemel United States Melodi Tastemel's profile →
Citations per field
00.5×3.9×
Melodi Tastemel · 1×
Citations per year

Countries citing papers authored by Yatendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Yatendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2016154
2 202296
3 201344
4 201740
5 202320
6 20208
7 20208
8 20235
9 20214
10 20243
11 20231
12 20191

About Yatendra Kumar

Yatendra Kumar is a scholar working on Molecular Biology, Signal Processing, Plant Science, Cancer Research and Surgery, having authored 12 papers that have together received 384 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (3 papers), Ubiquitin and proteasome pathways (2 papers), NF-κB Signaling Pathways (2 papers), Chromosomal and Genetic Variations (2 papers), Blind Source Separation Techniques (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (333 citations), Cancer Research (30 citations), Aging (3 citations), Plant Science (53 citations) and Genetics (33 citations). Yatendra Kumar has collaborated with scholars based in United Kingdom, India and France. Frequent co-authors include Wendy A. Bickmore, Graeme R. Grimes, Robert Schneider, Gillian C.A. Taylor, Madapura M. Pradeepa, Purnima Bhargava, Ilya M. Flyamer, Iain Williamson, Laura A. Lettice and Lauren Kane. Their work appears in journals such as eLife, Nature Communications, Communications Biology, Nature Structural & Molecular Biology and Genome biology.

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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