Daniela E. Kirwan

1.1k citations
27 papers · 529 · h-index 12

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 14
    • SARS-CoV-2 and COVID-19 Research 2
    • Mycobacterium research and diagnosis 7
    • Pneumocystis jirovecii pneumonia detection and treatment 4
    • Pneumonia and Respiratory Infections 3

Daniela E. Kirwan

26 papers receiving 517 citations

Peers

Daniela E. Kirwan
Comparison fields: 5 of 82
  • Infectious Diseases 259
  • Hematology 100
  • Epidemiology 159
  • Biochemistry 19
  • Molecular Medicine 13
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Citations per field
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Citations per year

Countries citing papers authored by Daniela E. Kirwan

Since Specialization
Citations

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

Fields of papers citing papers by Daniela E. Kirwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela E. Kirwan. 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 Daniela E. Kirwan. The network helps show where Daniela E. Kirwan may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela E. Kirwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela E. Kirwan Line = papers co-authored together Daniela E. Kirwan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014124
2 201787
3 201849
4 201137
5 202134
6 201222
7 201619
8 201216
9 202016
10 201815
11 202114
12 201913
13 200911
14 201510
15 202210
16 20209
17 20149
18 20097
19 20236
20 20165

About Daniela E. Kirwan

Daniela E. Kirwan is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Genetics, having authored 27 papers that have together received 529 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Pneumonia and Respiratory Infections (3 papers), Infectious Diseases and Tuberculosis (3 papers), Diagnosis and treatment of tuberculosis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Infectious Diseases (259 citations), Hematology (100 citations), Epidemiology (159 citations), Biochemistry (19 citations) and Molecular Medicine (13 citations). Daniela E. Kirwan has collaborated with scholars based in United Kingdom, United States and Peru. Frequent co-authors include Robert H. Gilman, Jon S. Friedland, Hamna J. Qureshi, Stephen C. Robson, S. Allard, Judith White, Edwin Massey, J. Jones, Mirko Zimic and Patricia Sheen. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Journal of Clinical Microbiology, Scientific Reports, Microbial Drug Resistance and Tropical Medicine & International Health.

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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