Muhammad Wasim

954 citations
94 papers · 642 · h-index 14

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Molecular Biology Techniques and Applications 5
    • Liver Disease Diagnosis and Treatment 11
    • Hepatitis B Virus Studies 9
    • Virology and Viral Diseases 5

Muhammad Wasim

81 papers receiving 609 citations

Peers

Muhammad Wasim
Comparison fields: 5 of 115
  • Hepatology 70
  • Cancer Research 88
  • Animal Science and Zoology 55
  • Epidemiology 144
  • Toxicology 13
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Citations per year

Countries citing papers authored by Muhammad Wasim

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Wasim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009102
2 201749
3 201342
4 201033
5 201825
6 201320
7 201219
8 202019
9 201518
10 200917
11 200917
12 201414
13 202014
14 201514
15
Alterations in the RB1 gene in Pakistani patients with retinoblastoma using direct sequencing analysis.
201513
16 201812
17 201512
18 202011
19 202410
20 201710

About Muhammad Wasim

Muhammad Wasim is a scholar working on Molecular Biology, Epidemiology, Genetics, Hepatology and Infectious Diseases, having authored 94 papers that have together received 642 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Hepatitis C virus research (10 papers), Hepatitis B Virus Studies (9 papers), Viral Infections and Vectors (7 papers), Enzyme Production and Characterization (6 papers), Animal Virus Infections Studies (5 papers), Virology and Viral Diseases (5 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Hepatology (70 citations), Cancer Research (88 citations), Animal Science and Zoology (55 citations), Epidemiology (144 citations) and Toxicology (13 citations). Muhammad Wasim has collaborated with scholars based in Pakistan, United States and Italy. Frequent co-authors include Muhammad Mansha, Christian Ploner, Reinhard Kofler, Johannes Rainer, Muhammad Tayyab, Ali Raza Awan, Muhammad Waqar, Zlatko Trajanoski, Harald Niederegger and Mayra Eduardoff. Their work appears in journals such as Molecular Biology Reports, PLoS ONE, Frontiers in Psychiatry, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration and Leukemia 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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