Maryann M Bukelo

15 total papers · 898 total citations
13 papers, 508 citations indexed

About

Maryann M Bukelo is a scholar working on Infectious Diseases, Molecular Biology and Neurology. According to data from OpenAlex, Maryann M Bukelo has authored 13 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Maryann M Bukelo's work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Long-Term Effects of COVID-19 (3 papers). Maryann M Bukelo is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Long-Term Effects of COVID-19 (3 papers). Maryann M Bukelo collaborates with scholars based in Trinidad and Tobago, India and United States. Maryann M Bukelo's co-authors include Srikanth Umakanthan, Anu Vinod Ranade, Pradeep Kumar Sahu, Lucas Faria Abrahão‐Machado, Joseph Sushil Rao, Samarika Dahal, Vijay Kumar Chattu, Madan M. Gupta, Alaric W. D’Souza and Jyoti Kini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Postgraduate Medical Journal and Frontiers in Public Health.

In The Last Decade

Maryann M Bukelo

12 papers receiving 498 citations

Author Peers

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

Author Last Decade Papers Cites
Maryann M Bukelo 246 85 80 74 66 13 508
Stevie Hendriks 234 1.0× 49 0.6× 82 1.0× 62 0.8× 111 1.7× 11 494
Farzin Vahedi 280 1.1× 54 0.6× 68 0.8× 55 0.7× 86 1.3× 19 588
Yu‐Lin Tai 207 0.8× 74 0.9× 72 0.9× 72 1.0× 36 0.5× 17 453
Gareth J Griffith 225 0.9× 84 1.0× 102 1.3× 71 1.0× 76 1.2× 25 608
Lindsey Pike 208 0.8× 43 0.5× 88 1.1× 57 0.8× 70 1.1× 8 495
Gabriela Petereit-Haack 198 0.8× 50 0.6× 84 1.1× 59 0.8× 98 1.5× 25 608
Lenin Gómez‐Barreno 234 1.0× 36 0.4× 121 1.5× 79 1.1× 100 1.5× 22 608
Shazaad Ahmad 301 1.2× 69 0.8× 61 0.8× 96 1.3× 40 0.6× 25 479
Mehrzad MohsseniPour 281 1.1× 44 0.5× 80 1.0× 49 0.7× 114 1.7× 19 540
Elise Caruso 241 1.0× 86 1.0× 148 1.9× 157 2.1× 38 0.6× 11 503

Countries citing papers authored by Maryann M Bukelo

Since Specialization
Citations

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

Fields of papers citing papers by Maryann M Bukelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maryann M Bukelo. 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 Maryann M Bukelo. The network helps show where Maryann M Bukelo may publish in the future.

Co-authorship network of co-authors of Maryann M Bukelo

This figure shows the co-authorship network connecting the top 25 collaborators of Maryann M Bukelo. A scholar is included among the top collaborators of Maryann M Bukelo 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 Maryann M Bukelo. Maryann M Bukelo 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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