Mary Taj

57 total papers · 958 total citations
29 papers, 549 citations indexed

About

Mary Taj is a scholar working on Oncology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mary Taj has authored 29 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Pathology and Forensic Medicine and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mary Taj's work include Lymphoma Diagnosis and Treatment (12 papers), Acute Lymphoblastic Leukemia research (10 papers) and Viral-associated cancers and disorders (9 papers). Mary Taj is often cited by papers focused on Lymphoma Diagnosis and Treatment (12 papers), Acute Lymphoblastic Leukemia research (10 papers) and Viral-associated cancers and disorders (9 papers). Mary Taj collaborates with scholars based in United Kingdom, Germany and United States. Mary Taj's co-authors include Julia Chisholm, David B. Mumford, L Price, Maria Zambon, Nedim Hadžić, Eva A. Wegner, Sally F. Barrington, Michael A. Smith, Michael O’Doherty and Rosalie E. Ferner and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Infectious Diseases.

In The Last Decade

Mary Taj

28 papers receiving 540 citations

Author Peers

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

Author Last Decade Papers Cites
Mary Taj 219 126 123 96 96 29 549
Salvatore Buffardi 163 0.7× 108 0.9× 170 1.4× 76 0.8× 97 1.0× 43 481
B. Pellegrino 101 0.5× 118 0.9× 124 1.0× 69 0.7× 53 0.6× 22 562
C. N. Nair 120 0.5× 91 0.7× 84 0.7× 36 0.4× 76 0.8× 41 492
Vivek A. Bhadri 187 0.9× 137 1.1× 63 0.5× 47 0.5× 74 0.8× 35 556
Byung-Kiu Park 121 0.6× 105 0.8× 44 0.4× 106 1.1× 47 0.5× 27 494
Carl E. Krill 121 0.6× 121 1.0× 76 0.6× 86 0.9× 62 0.6× 24 612
Mortimer J. Lacher 239 1.1× 72 0.6× 221 1.8× 32 0.3× 91 0.9× 27 580
Qian Li 156 0.7× 194 1.5× 57 0.5× 193 2.0× 80 0.8× 36 484
A. Preti 222 1.0× 107 0.8× 298 2.4× 26 0.3× 62 0.6× 17 601
Manuel Steiner 69 0.3× 202 1.6× 93 0.8× 92 1.0× 48 0.5× 23 540

Countries citing papers authored by Mary Taj

Since Specialization
Citations

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

Fields of papers citing papers by Mary Taj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Taj

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