Parameet Kumar

440 citations
16 papers · 359 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Acute Myeloid Leukemia Research

Papers in

Parameet Kumar

15 papers receiving 351 citations

Peers

Parameet Kumar
Comparison fields: 5 of 65
  • Cancer Research 114
  • Hematology 45
  • Molecular Biology 188
  • Pulmonary and Respiratory Medicine 71
  • Immunology 30
Replace Jie Bai with:
Jie Bai China
Alena Motorina Canada
Fuyun Ji China
Javier Fernández-Mateos Spain
Kathryn S. McKee United States
Valentina Cordo’ Netherlands
Yaling Dou China
Joshua Victor United States
Maria I. Edilova Canada
Kirsten Jost Germany
Parameet Kumar relative to Jie Bai China Jie Bai's profile →
Citations per field
00.5×2×3.2×
Jie Bai · 1×
Citations per year

Countries citing papers authored by Parameet Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Parameet Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011115
2 201339
3 201333
4 202025
5 201625
6 201622
7 201621
8 201018
9 200916
10 201915
11 201313
12 20196
13 20196
14 20213
15 20162
16 20160

About Parameet Kumar

Parameet Kumar is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Infectious Diseases and Geriatrics and Gerontology, having authored 16 papers that have together received 359 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), RNA modifications and cancer (3 papers), Neonatal Respiratory Health Research (3 papers), Tuberculosis Research and Epidemiology (2 papers), Cystic Fibrosis Research Advances (2 papers), RNA Research and Splicing (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Cancer Research (114 citations), Hematology (45 citations), Molecular Biology (188 citations), Pulmonary and Respiratory Medicine (71 citations) and Immunology (30 citations). Parameet Kumar has collaborated with scholars based in United States and India. Frequent co-authors include Roopa Biswas, Sharmistha Bhattacharyya, Betty Ying Zhou, Hans‐Willem Snoeck, Francesca Aguiló, Ihor R. Lemischka, Ana Antonia Collado Sevilla, Serine Avagyan, Dung‐Fang Lee and Anirban Bhattacharya. Their work appears in journals such as Oncotarget, Scientific Reports, Molecular Therapy, Biochemical and Biophysical Research Communications and Journal of Molecular Diagnostics.

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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