Nisha D’Mello

453 citations
9 papers · 338 · h-index 7

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Sphingolipid Metabolism and Signaling
    • Fungal and yeast genetics research
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics

Papers in

Nisha D’Mello

8 papers receiving 328 citations

Peers

Nisha D’Mello
Comparison fields: 5 of 53
  • Aging 130
  • Molecular Biology 228
  • Endocrine and Autonomic Systems 21
  • Physiology 80
  • Cell Biology 48
Replace Ilke Sen with:
Ilke Sen Sweden
Cyril Statzer Switzerland
Susana Isabel Ferreira Portugal
Xueying Wu China
Chirag Jain India
Susan M. DeLeon United States
Julian Ostrovsky United States
Tarika Vijayaraghavan Australia
Shu‐Yi Huang Taiwan
Shannon Klum United States
Nisha D’Mello relative to Ilke Sen Sweden Ilke Sen's profile →
Citations per field
00.5×12×
Ilke Sen · 1×
Citations per year

Countries citing papers authored by Nisha D’Mello

Since Specialization
Citations

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

Fields of papers citing papers by Nisha D’Mello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nisha D’Mello. 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 Nisha D’Mello. The network helps show where Nisha D’Mello may publish in the future.

Co-authors

The 19 scholars most cited alongside Nisha D’Mello, 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 Nisha D’Mello Line = papers co-authored together Nisha D’Mello links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1994191
2 199175
3 201125
4 199820
5 20059
6 19989
7 20048
8 20051
9 20090

About Nisha D’Mello

Nisha D’Mello is a scholar working on Hematology, Surgery, Molecular Biology, Aging and Plant Science, having authored 9 papers that have together received 338 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers), Folate and B Vitamins Research (1 paper), Congenital Heart Disease Studies (1 paper), DNA Repair Mechanisms (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Aging (130 citations), Molecular Biology (228 citations), Endocrine and Autonomic Systems (21 citations), Physiology (80 citations) and Cell Biology (48 citations). Nisha D’Mello has collaborated with scholars based in Canada and United States. Frequent co-authors include S. Michal Jazwinski, Shubha P. Kale, A.M. Childress, Thomas Binz, Paul A. Horgen, Yeung Yam, Benjamin J.W. Chow, Li Chen, Joseph Abunassar and Betty Wong. Their work appears in journals such as Mycologia, Transplant International, Journal of the American College of Cardiology, Journal of Biological Chemistry and The Journal of Heart and Lung Transplantation.

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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