Md Mujibur Rahman

144 total papers · 2.7k total citations
76 papers, 746 citations indexed

About

Md Mujibur Rahman is a scholar working on Infectious Diseases, Rheumatology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Md Mujibur Rahman has authored 76 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 13 papers in Rheumatology and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Md Mujibur Rahman's work include Long-Term Effects of COVID-19 (9 papers), COVID-19 Clinical Research Studies (8 papers) and Mosquito-borne diseases and control (7 papers). Md Mujibur Rahman is often cited by papers focused on Long-Term Effects of COVID-19 (9 papers), COVID-19 Clinical Research Studies (8 papers) and Mosquito-borne diseases and control (7 papers). Md Mujibur Rahman collaborates with scholars based in Bangladesh, United States and United Kingdom. Md Mujibur Rahman's co-authors include Mohammad Mostafa Zaman, S.K. Jakaria Been Sayeed, Reaz Mahmud, Mohammad Aftab Rassel, Farhana Binte Monayem, Md. Shahidul Islam, Adnan Rajib, Md Nazmul Karim, Md Ridwanur Rahman and Ridwanur Rahman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Carcinogenesis.

In The Last Decade

Md Mujibur Rahman

64 papers receiving 712 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Md Mujibur Rahman 169 127 111 110 93 76 746
Laura Corlin 86 0.5× 187 1.5× 27 0.2× 68 0.6× 39 0.4× 54 863
Keyang Liu 116 0.7× 49 0.4× 25 0.2× 113 1.0× 31 0.3× 47 634
Ailiana Santosa 72 0.4× 146 1.1× 95 0.9× 84 0.8× 27 0.3× 48 707
Xiaorong Wang 40 0.2× 141 1.1× 187 1.7× 25 0.2× 41 0.4× 41 645
Navin Kumar Devaraj 148 0.9× 39 0.3× 37 0.3× 57 0.5× 46 0.5× 81 847
Donald Malec 129 0.8× 55 0.4× 69 0.6× 43 0.4× 29 0.3× 27 805
Onoja Akpa 84 0.5× 83 0.7× 25 0.2× 104 0.9× 16 0.2× 75 772
Fen Dong 141 0.8× 56 0.4× 84 0.8× 158 1.4× 39 0.4× 67 715
Alireza Raeisi 106 0.6× 69 0.5× 20 0.2× 17 0.2× 19 0.2× 68 846
Reuel A. Stallones 195 1.2× 34 0.3× 66 0.6× 86 0.8× 68 0.7× 38 763

Countries citing papers authored by Md Mujibur Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Md Mujibur Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md Mujibur Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Md Mujibur Rahman. A scholar is included among the top collaborators of Md Mujibur Rahman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Md Mujibur Rahman. Md Mujibur Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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