Jayamani Anandhakumar

641 citations
14 papers · 430 · h-index 10

Impact in

Papers in

    • Fungal and yeast genetics research 6
    • Genomics and Chromatin Dynamics 5
    • RNA Research and Splicing 4
    • Epigenetics and DNA Methylation 2
    • Heat shock proteins research 2
    • Parkinson's Disease Mechanisms and Treatments 3

Jayamani Anandhakumar

14 papers receiving 425 citations

Peers

Jayamani Anandhakumar
Comparison fields: 5 of 59
  • Aging 31
  • Cell Biology 92
  • Molecular Biology 355
  • Neurology 42
  • Physiology 69
Replace Rayees U.H. Mattoo with:
Rayees U.H. Mattoo Switzerland
G. J. J. Stege Netherlands
Surajit Sarkar India
Anne T. Gillies United States
Ramachandran Prakasam United States
Anna E. Masser Sweden
Maria V. Sudnitsyna Russia
Ulrich Hartl Germany
Stefan Böckler Germany
Nelson Lopez United States
Jayamani Anandhakumar relative to Rayees U.H. Mattoo Switzerland Rayees U.H. Mattoo's profile →
Citations per field
00.5×1.5×1.8×
Rayees U.H. Mattoo · 1×
Citations per year

Countries citing papers authored by Jayamani Anandhakumar

Since Specialization
Citations

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

Fields of papers citing papers by Jayamani Anandhakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018109
2 201647
3 200946
4 201843
5 201041
6 201129
7 201429
8 201524
9 201621
10 201315
11 20089
12 20159
13 20187
14
Investigation on the Biocontrol of Phytophthora diseases on strawberry based on antagonism
20041

About Jayamani Anandhakumar

Jayamani Anandhakumar is a scholar working on Molecular Biology, Neurology, Cell Biology, Physiology and Plant Science, having authored 14 papers that have together received 430 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Alzheimer's disease research and treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Heat shock proteins research (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). The work is most often cited by research in Aging (31 citations), Cell Biology (92 citations), Molecular Biology (355 citations), Neurology (42 citations) and Physiology (69 citations). Jayamani Anandhakumar has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include David S. Gross, David Pincus, Vanessa Franssens, Joris Winderickx, Joanna Krakowiak, Xu Zheng, Ahmad S. Khalil, Amoldeep S. Kainth, Thomas Vanhelmont and Nikit Patel. Their work appears in journals such as eLife, Cell Death and Differentiation, Biochemical Society Transactions, Molecular Biology of the Cell and Current 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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