Nirad Banskota

405 citations
13 papers · 109 · h-index 6

Impact in

    • Genetics, Aging, and Longevity in Model Organisms
    • Parasites and Host Interactions

Papers in

    • Muscle Physiology and Disorders 3
    • RNA modifications and cancer 2
    • RNA Research and Splicing 2
    • Telomeres, Telomerase, and Senescence 2
    • Adipose Tissue and Metabolism 2

Nirad Banskota

11 papers receiving 107 citations

Peers

Nirad Banskota
Comparison fields: 5 of 47
  • Aging 17
  • Parasitology 10
  • Geriatrics and Gerontology 5
  • Physiology 31
  • Endocrine and Autonomic Systems 7
Replace Yuesheng Zuo with:
Yuesheng Zuo China
Yasmyn E. Winstanley Australia
Leena Habiballa United Kingdom
Bhawani Nagarajah Netherlands
L. A. Gilhuijs-Pederson Netherlands
Christopher Mozsary United States
Domenico Di Fraia Germany
Sandra Batista United States
Guoning Huang China
Ingrid Bhatia‐Kiššová Slovakia
Nirad Banskota relative to Yuesheng Zuo China Yuesheng Zuo's profile →
Citations per field
00.5×1.5×
Yuesheng Zuo · 1×
Citations per year

Countries citing papers authored by Nirad Banskota

Since Specialization
Citations

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

Fields of papers citing papers by Nirad Banskota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202336
2 202319
3 201916
4 202211
5 202410
6 20246
7 20184
8 20243
9 20252
10 20251
11 20251
12 20240
13 20160

About Nirad Banskota

Nirad Banskota is a scholar working on Molecular Biology, Physiology, Aging, Cancer Research and Parasitology, having authored 13 papers that have together received 109 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Muscle Physiology and Disorders (3 papers), Telomeres, Telomerase, and Senescence (2 papers), RNA modifications and cancer (2 papers), Parasites and Host Interactions (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Aging (17 citations), Parasitology (10 citations), Geriatrics and Gerontology (5 citations), Physiology (31 citations) and Endocrine and Autonomic Systems (7 citations). Nirad Banskota has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Supriyo De, Julián Candia, Rachel Munk, Luigi Ferrucci, Myriam Gorospe, Susan B. Racette, Evaristus C. Mbanefo, Corby K. Martin, Michael Griswold and Virginia B. Kraus. Their work appears in journals such as Nucleic Acids Research, Aging Cell, Scientific Reports, Wiley Interdisciplinary Reviews - RNA and International Journal for Parasitology.

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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