Md. Asad Ullah

994 citations
45 papers · 540 · h-index 15

Impact in

Papers in

    • vaccines and immunoinformatics approaches 11
    • RNA modifications and cancer 3
    • COVID-19 Clinical Research Studies 8
    • SARS-CoV-2 and COVID-19 Research 8

Md. Asad Ullah

43 papers receiving 530 citations

Peers

Md. Asad Ullah
Comparison fields: 5 of 97
  • Infectious Diseases 180
  • Applied Microbiology and Biotechnology 13
  • Immunology 101
  • Molecular Biology 279
  • Modeling and Simulation 17
Replace Abu Tayab Moin with:
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Citations per field
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Citations per year

Countries citing papers authored by Md. Asad Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Md. Asad Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Asad Ullah. 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 Md. Asad Ullah. The network helps show where Md. Asad Ullah may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202054
2 202242
3 202235
4 202233
5 202231
6 202126
7 202023
8 202022
9 202020
10 202019
11 202019
12 201916
13 202116
14 201915
15 202314
16 202014
17 202113
18 20209
19 20209
20 20228

About Md. Asad Ullah

Md. Asad Ullah is a scholar working on Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 45 papers that have together received 540 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (11 papers), COVID-19 Clinical Research Studies (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Ferroptosis and cancer prognosis (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (4 papers), RNA modifications and cancer (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Infectious Diseases (180 citations), Applied Microbiology and Biotechnology (13 citations), Immunology (101 citations), Molecular Biology (279 citations) and Modeling and Simulation (17 citations). Md. Asad Ullah has collaborated with scholars based in Bangladesh, India and Canada. Frequent co-authors include Bishajit Sarkar, Yusha Araf, Abu Tayab Moin, Mohammad Jakir Hosen, Tanjim Ishraq Rahaman, Mohammad Shahedur Rahman, MD. Hasanur Rahman, Chunfu Zheng, Rajesh B. Patil and Masuma Afrin Taniya. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Heliyon, Scientific Reports, Journal of Leukocyte Biology and Frontiers in Immunology.

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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