Jay Kumar

566 citations
14 papers · 300 · h-index 9

Impact in

Papers in

    • Genomics and Phylogenetic Studies 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Mitochondrial Function and Pathology 2
    • Cancer-related molecular mechanisms research 5

Jay Kumar

13 papers receiving 290 citations

Peers

Jay Kumar
Comparison fields: 5 of 83
  • Renewable Energy, Sustainability and the Environment 45
  • Aging 4
  • Genetics 58
  • Biotechnology 16
  • Physiology 7
Replace Corinna Wilken with:
Corinna Wilken Austria
Tao Liang China
Kei Nanatani Japan
Joshua S. MacCready United States
Dan Jin China
Edileusa C. M. Gerhardt Brazil
Manzar Abbas China
A. Scott Durkin United States
Xinbo Li China
Vered Irihimovitch Israel
Jay Kumar relative to Corinna Wilken Austria Corinna Wilken's profile →
Citations per field
00.5×
Corinna Wilken · 1×
Citations per year

Countries citing papers authored by Jay Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Jay Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201884
2 200456
3 201947
4 201838
5 201623
6 200414
7 202312
8 202011
9 20249
10 20242
11 20242
12 20251
13
Single-locus and two-locus QTL analysis to detect main effect and epistatic QTL for grain weight in bread wheat
20081
14 20240

About Jay Kumar

Jay Kumar is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Ecology and Genetics, having authored 14 papers that have together received 300 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Lipid metabolism and disorders (4 papers), Microbial Community Ecology and Physiology (3 papers), Genomics and Phylogenetic Studies (2 papers), Retinal Diseases and Treatments (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Chromosomal and Genetic Variations (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (45 citations), Aging (4 citations), Genetics (58 citations), Biotechnology (16 citations) and Physiology (7 citations). Jay Kumar has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Shikha Dubey, Piyoosh Kumar Babele, Yogesh Chandra Sharma, Ashok Kumar, Divya Singh, Venkatesh Chaturvedi, Ashok Kumar, Ashok Kumar, Dennis A. Johnston and Steven Kazianis. Their work appears in journals such as Frontiers in Microbiology, Microbial Physiology, International Journal of Biological Macromolecules, Genetics and Advanced Powder Technology.

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.

Explore authors with similar magnitude of impact