Joy Sarojini Michael

89 total papers · 903 total citations
50 papers, 420 citations indexed

About

Joy Sarojini Michael is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Joy Sarojini Michael has authored 50 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Infectious Diseases, 24 papers in Epidemiology and 14 papers in Surgery. Recurrent topics in Joy Sarojini Michael's work include Tuberculosis Research and Epidemiology (27 papers), Mycobacterium research and diagnosis (17 papers) and Diagnosis and treatment of tuberculosis (8 papers). Joy Sarojini Michael is often cited by papers focused on Tuberculosis Research and Epidemiology (27 papers), Mycobacterium research and diagnosis (17 papers) and Diagnosis and treatment of tuberculosis (8 papers). Joy Sarojini Michael collaborates with scholars based in India, United States and Canada. Joy Sarojini Michael's co-authors include Balaji Veeraraghavan, Peter Daley, Thomas John, Madhukar Pai, Valsan Philip Verghese, Devasahayam Jesudas Christopher, Dilip Mathai, K. R. John, O C Abraham and Alice Zwerling and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Joy Sarojini Michael

44 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Joy Sarojini Michael 270 205 116 58 51 50 420
Azar Hadadi 188 0.7× 107 0.5× 82 0.7× 79 1.4× 36 0.7× 46 471
Shi Nae Yu 180 0.7× 137 0.7× 82 0.7× 112 1.9× 58 1.1× 38 437
Esteban González-Díaz 176 0.7× 146 0.7× 70 0.6× 76 1.3× 34 0.7× 34 406
Juan Luis Mosqueda-Gómez 134 0.5× 137 0.7× 122 1.1× 59 1.0× 30 0.6× 33 473
Patrick Orikiriza 225 0.8× 196 1.0× 107 0.9× 52 0.9× 53 1.0× 35 436
Agathe de Lauzanne 191 0.7× 211 1.0× 96 0.8× 125 2.2× 51 1.0× 25 442
Hitender Gautam 165 0.6× 183 0.9× 63 0.5× 98 1.7× 40 0.8× 55 466
Nathalie Jazmati 175 0.6× 159 0.8× 70 0.6× 84 1.4× 35 0.7× 30 403
Po‐Yen Huang 203 0.8× 174 0.8× 48 0.4× 89 1.5× 47 0.9× 35 414
Sergio Fanella 149 0.6× 254 1.2× 50 0.4× 28 0.5× 49 1.0× 42 448

Countries citing papers authored by Joy Sarojini Michael

Since Specialization
Citations

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

Fields of papers citing papers by Joy Sarojini Michael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joy Sarojini Michael. 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 Joy Sarojini Michael. The network helps show where Joy Sarojini Michael may publish in the future.

Co-authorship network of co-authors of Joy Sarojini Michael

This figure shows the co-authorship network connecting the top 25 collaborators of Joy Sarojini Michael. A scholar is included among the top collaborators of Joy Sarojini Michael 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 Joy Sarojini Michael. Joy Sarojini Michael 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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