Maria Tsakok

1.3k total citations
28 papers, 609 citations indexed

About

Maria Tsakok is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Maria Tsakok has authored 28 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Oncology. Recurrent topics in Maria Tsakok's work include Lung Cancer Diagnosis and Treatment (8 papers), COVID-19 diagnosis using AI (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Maria Tsakok is often cited by papers focused on Lung Cancer Diagnosis and Treatment (8 papers), COVID-19 diagnosis using AI (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Maria Tsakok collaborates with scholars based in United Kingdom, Netherlands and Qatar. Maria Tsakok's co-authors include Fergus Gleeson, Robert Watson, Teresa Tsakok, Heiko Peschl, Rafael Perera, Jeremy Howick, Claire Friedemann Smith, Jennifer Thomas, Susannah Fleming and Carl Heneghan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Maria Tsakok

28 papers receiving 588 citations

Peers

Maria Tsakok
Comparison fields: 5 of 101
  • Radiology, Nuclear Medicine and Imaging 233
  • Pulmonary and Respiratory Medicine 212
  • Oncology 99
  • Surgery 85
  • Infectious Diseases 72
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Jerzy Rudnicki Poland
Chung‐Chieh Yu Taiwan
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Nusrat Jahan United States
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Citations per field, relative to Maria Tsakok
Maria Tsakok · 1×
Citations per year, relative to Maria Tsakok
Maria Tsakok · 1×

Countries citing papers authored by Maria Tsakok

Since Specialization
Citations

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

Fields of papers citing papers by Maria Tsakok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Tsakok

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Tsakok. A scholar is included among the top collaborators of Maria Tsakok 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 Maria Tsakok. Maria Tsakok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 52
2 4
3 7
4 7
5 2
6 125
7 8
8 15
9 18
10 38
11 8
12 17
13 37
14 11
15 18
16
Erratum: Are treatments more effective than placebos? A systematic review and meta-analysis (PLoS ONE (2015) 11:1 (e0147354) 10.1371/journal.pone.0147354))
2
17 7
18 25
19 1
20 4

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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