Rahman Jamal

3.4k citations
145 papers · 2.5k · h-index 27

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Extracellular vesicles in disease
    • Gut microbiota and health

Papers in

    • Circular RNAs in diseases 8
    • RNA modifications and cancer 8
    • Cancer-related molecular mechanisms research 13
    • MicroRNA in disease regulation 11

Rahman Jamal

137 papers receiving 2.4k citations

Peers

Rahman Jamal
Comparison fields: 5 of 167
  • Cancer Research 522
  • Molecular Biology 1.0k
  • Genetics 130
  • Aging 19
  • Oncology 285
Replace Hua Zhou with:
Hua Zhou China
Alan Parrish United States
Suzanne M. Cloonan United States
Mohammed Al‐Qahtani Saudi Arabia
Hongbo Chen China
Mengxia Li China
Haleh Akhavan‐Niaki Iran
Xueqin Li China
Sebastian Mueller Germany
Jianguo Wen China
Rahman Jamal relative to Hua Zhou China Hua Zhou's profile →
Citations per field
00.5×1.5×2.4×
Hua Zhou · 1×
Citations per year

Countries citing papers authored by Rahman Jamal

Since Specialization
Citations

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

Fields of papers citing papers by Rahman Jamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012153
2 2021114
3 2019114
4 2019101
5 201981
6 201177
7 200865
8 201751
9 201649
10 201545
11 201943
12 201443
13 202042
14 201842
15 201942
16 201940
17 201540
18 201739
19 201837
20 201234

About Rahman Jamal

Rahman Jamal is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Genetics, having authored 145 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), Hemoglobinopathies and Related Disorders (11 papers), MicroRNA in disease regulation (11 papers), Genetic factors in colorectal cancer (9 papers), Circular RNAs in diseases (8 papers), RNA modifications and cancer (8 papers), Genetic Associations and Epidemiology (7 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Cancer Research (522 citations), Molecular Biology (1.0k citations), Genetics (130 citations), Aging (19 citations) and Oncology (285 citations). Rahman Jamal has collaborated with scholars based in Malaysia, United Kingdom and Japan. Frequent co-authors include Nurul‐Syakima Ab Mutalib, Hui‐min Neoh, Nadiah Abu, Siok‐Fong Chin, Teck Yew Low, Pey Yee Lee, Kha Wai Hon, Nor Azian Abdul Murad, Hamidah Alias and Nadiah Abu. Their work appears in journals such as Scientific Reports, Frontiers in Pharmacology, Clinica Chimica Acta, Frontiers in Immunology and Biomolecules.

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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