Muhammad Umer

2.1k citations
49 papers · 1.6k indexed · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • Advanced biosensing and bioanalysis techniques 11
    • Extracellular vesicles in disease 4
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 4
    • Cancer Genomics and Diagnostics 3

Muhammad Umer

45 papers receiving 1.5k citations

Peers

Muhammad Umer
Comparison fields: 5 of 126
  • Cancer Research 413
  • Hepatology 107
  • Molecular Biology 864
  • Biomedical Engineering 448
  • Electrochemistry 55
Replace Fubing Wang with:
Fubing Wang China
Juan J. Díaz‐Mochón Spain
Dong-ki Lee South Korea
Jinyang Chen China
Xiaofan Ding China
Tian Gao China
Min Wu China
Yong Luo China
Xinmin Nie China
Muhammad Umer relative to Fubing Wang China Fubing Wang's profile →
Citations per field
00.5×3.7×
Fubing Wang · 1×
Citations per year

Countries citing papers authored by Muhammad Umer

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Umer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018242
2 2020159
3 2019126
4 2018110
5 2016110
6 202071
7 202162
8 201861
9 202158
10 202358
11 201252
12 202040
13 201839
14 201839
15 202128
16 201428
17 201828
18 202227
19 201822
20 201918

About Muhammad Umer

Muhammad Umer is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Electrical and Electronic Engineering and Biomedical Engineering, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (11 papers), MicroRNA in disease regulation (6 papers), SARS-CoV-2 detection and testing (4 papers), Biosensors and Analytical Detection (4 papers), Cancer-related molecular mechanisms research (4 papers), Extracellular vesicles in disease (4 papers), Cancer Genomics and Diagnostics (3 papers) and Polyomavirus and related diseases (3 papers). The work is most often cited by research in Cancer Research (413 citations), Hepatology (107 citations), Molecular Biology (864 citations), Biomedical Engineering (448 citations) and Electrochemistry (55 citations). Muhammad Umer has collaborated with scholars based in Australia, Pakistan and United States. Frequent co-authors include Muhammad J. A. Shiddiky, Nam‐Trung Nguyen, Md. Nazmul Islam, Lena Gorgannezhad, Zdenko Herceg, Yusuke Yamauchi, Md. Shahriar A. Hossain, Mostafa Kamal Masud, Mirko Lobino and Adrian Trinchi. Their work appears in journals such as The Analyst, Virus Research, Virology Journal, PLoS ONE and Analytical and Bioanalytical Chemistry.

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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