Manoj Garg

6.7k citations
100 papers · 3.9k indexed · 2 hit papers · h-index 39

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Interference and Gene Delivery
    • Epigenetics and DNA Methylation

Papers in

    • Cancer-related molecular mechanisms research 13
    • RNA Interference and Gene Delivery 11
    • RNA modifications and cancer 9
    • Epigenetics and DNA Methylation 8
    • RNA Research and Splicing 8

Manoj Garg

96 papers receiving 3.9k citations

Hit Papers

Multifaceted role of mTOR (mammalian target of rapamycin) signaling pathway in human health and disease 2023 · 431 citations
4312020202620222024100200300400

Peers

Manoj Garg
Comparison fields: 5 of 129
  • Cancer Research 990
  • Molecular Biology 2.4k
  • Immunology 570
  • Oncology 668
  • Aging 42
Replace Hongmei Li with:
Hongmei Li China
Alexander T.H. Wu Taiwan
Daniela Trisciuoglio Italy
Xinliang Mao China
Dhyan Chandra United States
Dae‐Yeul Yu South Korea
Violeta Yu United States
H. Dorota Halicka United States
Chunhong Yan United States
Naihan Xu China
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Citations per field
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Hongmei Li · 1×
Citations per year

Countries citing papers authored by Manoj Garg

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20251
4 20250
5 202417
6 20242
7 20247
8 202314
9 202316
10 202328
11 20213
12 202147
13 202069
14 201814
15 201828
16 201420
17 201216
18 201175
19 200929
20 200870

About Manoj Garg

Manoj Garg is a scholar working on Cancer Research, Molecular Biology, Immunology, Reproductive Medicine and Oncology, having authored 100 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), RNA Interference and Gene Delivery (11 papers), Immunotherapy and Immune Responses (10 papers), RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (8 papers), RNA Research and Splicing (8 papers), Synthesis and biological activity (6 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Cancer Research (990 citations), Molecular Biology (2.4k citations), Immunology (570 citations), Oncology (668 citations) and Aging (42 citations). Manoj Garg has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Gautam Sethi, Anuradha Kirtonia, Amit Kumar Pandey, Deepika Kanojia, Anil Suri, Anju Gupta, Gouri Pandya, Deepak Kumar, Aishwarya Singh and Shinjinee Sengupta. Their work appears in journals such as Seminars in Cancer Biology, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Cancer Research, The Journal of Clinical Endocrinology & Metabolism and Cancer.

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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