Vikash Reebye

1.5k citations
36 papers · 805 indexed · h-index 16

Impact in

    • MicroRNA in disease regulation
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Ubiquitin and proteasome pathways

Papers in

Vikash Reebye

34 papers receiving 794 citations

Peers

Vikash Reebye
Comparison fields: 5 of 82
  • Cancer Research 184
  • Molecular Biology 549
  • Hepatology 31
  • Immunology 80
  • Pharmacology 61
Replace Zi Wang with:
Zi Wang China
Xiaoming Zhong China
Zhiqin Xie China
James R. Lambert United States
Valeria Tarallo Italy
Xinping Huang China
Ye Jin Jang South Korea
Somy Yoon South Korea
Hee‐Jun Wee South Korea
Vikash Reebye relative to Zi Wang China Zi Wang's profile →
Citations per field
00.5×1.5×2.2×
Zi Wang · 1×
Citations per year

Countries citing papers authored by Vikash Reebye

Since Specialization
Citations

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

Fields of papers citing papers by Vikash Reebye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202211
4 201928
5 201954
6 201929
7 20191
8 201928
9 201873
10 20179
11 201785
12 201661
13 201668
14 20161
15 201310
16 201310
17 201213
18 201117
19 201016
20 200615

About Vikash Reebye

Vikash Reebye is a scholar working on Cancer Research, Equine, Hepatology, Transplantation and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 805 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Estrogen and related hormone effects (4 papers), Prostate Cancer Treatment and Research (4 papers), Hormonal and reproductive studies (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (184 citations), Molecular Biology (549 citations), Hepatology (31 citations), Immunology (80 citations) and Pharmacology (61 citations). Vikash Reebye has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Nagy Habib, John J. Rossi, Kai‐Wen Huang, Pål Sætrom, Paul J. Mintz, Mikael H. Sodergren, David C. Blakey, Robert Habib, Pinelopi Andrikakou and Isabella Reccia. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Molecular Therapy, Oncogene, Cellular Signalling and Cancer Research.

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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