Massab Umair

112 total papers · 1.5k total citations
52 papers, 356 citations indexed

About

Massab Umair is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Massab Umair has authored 52 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Infectious Diseases, 16 papers in Public Health, Environmental and Occupational Health and 13 papers in Epidemiology. Recurrent topics in Massab Umair's work include Viral Infections and Vectors (20 papers), SARS-CoV-2 and COVID-19 Research (18 papers) and Mosquito-borne diseases and control (16 papers). Massab Umair is often cited by papers focused on Viral Infections and Vectors (20 papers), SARS-CoV-2 and COVID-19 Research (18 papers) and Mosquito-borne diseases and control (16 papers). Massab Umair collaborates with scholars based in Pakistan, United States and Saudi Arabia. Massab Umair's co-authors include Aamer Ikram, Muhammad Salman, Muhammad Masroor Alam, Adnan Khurshid, Muhammad Suleman Rana, Salmaan Sharif, Syed Sohail Zahoor Zaidi, Nazish Badar, Uzma Bashir Aamir and Shahzad Shaukat and has published in prestigious journals such as Nature reviews. Immunology, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Massab Umair

45 papers receiving 351 citations

Author Peers

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

Author Last Decade Papers Cites
Massab Umair 287 117 61 52 41 52 356
Varja Grabovac 225 0.8× 98 0.8× 85 1.4× 27 0.5× 101 2.5× 23 312
Yan Yan-sheng 246 0.9× 133 1.1× 88 1.4× 23 0.4× 93 2.3× 55 403
José Valter Joaquim Silva Júnior 174 0.6× 187 1.6× 45 0.7× 22 0.4× 14 0.3× 39 352
Fen Yang 181 0.6× 74 0.6× 182 3.0× 27 0.5× 63 1.5× 21 356
Jason Martin 217 0.8× 88 0.8× 178 2.9× 19 0.4× 10 0.2× 20 347
Nadia Nisar 177 0.6× 45 0.4× 174 2.9× 47 0.9× 50 1.2× 32 307
Cuitláhuac Ruíz-Matus 147 0.5× 152 1.3× 79 1.3× 7 0.1× 15 0.4× 24 299
Christevy Vouvoungui 162 0.6× 109 0.9× 63 1.0× 16 0.3× 33 0.8× 29 310
Filippo Dragoni 236 0.8× 80 0.7× 52 0.9× 20 0.4× 8 0.2× 31 348
Shuwen Qin 140 0.5× 53 0.5× 95 1.6× 9 0.2× 19 0.5× 26 308

Countries citing papers authored by Massab Umair

Since Specialization
Citations

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

Fields of papers citing papers by Massab Umair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massab Umair

This figure shows the co-authorship network connecting the top 25 collaborators of Massab Umair. A scholar is included among the top collaborators of Massab Umair 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 Massab Umair. Massab Umair 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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