Fiona Callaghan

1.3k total citations · 1 hit paper
18 papers, 871 citations indexed

About

Fiona Callaghan is a scholar working on Epidemiology, General Health Professions and Molecular Biology. According to data from OpenAlex, Fiona Callaghan has authored 18 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in General Health Professions and 2 papers in Molecular Biology. Recurrent topics in Fiona Callaghan's work include BRCA gene mutations in cancer (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Fiona Callaghan is often cited by papers focused on BRCA gene mutations in cancer (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Fiona Callaghan collaborates with scholars based in United States, United Kingdom and Switzerland. Fiona Callaghan's co-authors include Clement J. McDonald, Swapna Abhyankar, Dina Demner‐Fushman, Alexandros Karargyris, Rahul Kumar Singh, Yì Wáng, Kannappan Palaniappan, Zhiyun Xue, Jenifer Siegelman and Sameer Antani and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Transactions on Medical Imaging and Critical Care.

In The Last Decade

Fiona Callaghan

17 papers receiving 842 citations

Hit Papers

Automatic Tuberculosis Screening Using Chest Radiographs 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fiona Callaghan United States 12 363 224 140 123 82 18 871
Mohith Shamdas United Kingdom 6 478 1.3× 368 1.6× 93 0.7× 61 0.5× 69 0.8× 10 1.1k
Aditya U. Kale United Kingdom 6 515 1.4× 369 1.6× 96 0.7× 62 0.5× 70 0.9× 20 1.1k
Alice Bruynseels United Kingdom 6 513 1.4× 368 1.6× 91 0.7× 61 0.5× 76 0.9× 10 1.1k
Thushika Mahendiran United Kingdom 1 470 1.3× 367 1.6× 88 0.6× 59 0.5× 66 0.8× 2 1.0k
Satish E. Viswanath United States 19 837 2.3× 282 1.3× 519 3.7× 167 1.4× 97 1.2× 90 1.4k
Oğuz Dıcle Türkiye 19 319 0.9× 137 0.6× 134 1.0× 172 1.4× 247 3.0× 75 1.0k
Keno K. Bressem Germany 26 785 2.2× 427 1.9× 224 1.6× 65 0.5× 145 1.8× 109 1.8k
Rosalind Given-Wilson United Kingdom 20 362 1.0× 447 2.0× 332 2.4× 65 0.5× 92 1.1× 64 1.1k
John R. Zech United States 12 722 2.0× 618 2.8× 166 1.2× 75 0.6× 125 1.5× 29 1.6k
J. Raymond Geis United States 14 1.2k 3.3× 492 2.2× 191 1.4× 62 0.5× 89 1.1× 18 1.8k

Countries citing papers authored by Fiona Callaghan

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Callaghan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Callaghan

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

All Works

18 of 18 papers shown
1.
Callaghan, Fiona, et al.. (2025). The evidence for neonatal arginine supplementation — A narrative review. Early Human Development. 211. 106402–106402.
2.
Liede, Alexander, et al.. (2018). Risk-reducing mastectomy rates in the US: a closer examination of the Angelina Jolie effect. Breast Cancer Research and Treatment. 171(2). 435–442. 68 indexed citations
3.
Bylsma, Lauren C., Jon P. Fryzek, Karynsa Cetin, et al.. (2018). Systematic literature review of treatments used for adult immune thrombocytopenia in the second‐line setting. American Journal of Hematology. 94(1). 118–132. 24 indexed citations
4.
Liede, Alexander, et al.. (2018). Risk-reducing mastectomy rates in the US: A closer examination of the Angelina Jolie effect.. Journal of Clinical Oncology. 36(15_suppl). e13557–e13557. 1 indexed citations
5.
Callaghan, Fiona, et al.. (2016). Use of Electronic Health Record Data to Evaluate the Impact of Race on 30-Day Mortality in Patients Admitted to the Intensive Care Unit. Journal of Racial and Ethnic Health Disparities. 4(4). 539–548. 4 indexed citations
6.
Park, Sophie, Pierre Fenaux, Peter L. Greenberg, et al.. (2016). Efficacy and safety of darbepoetin alpha in patients with myelodysplastic syndromes: a systematic review and meta‐analysis. British Journal of Haematology. 174(5). 730–747. 27 indexed citations
7.
Kong, Alex, et al.. (2015). Usefulness of Two Clinical Chorioamnionitis Definitions in Predicting Neonatal Infectious Outcomes: A Systematic Review. American Journal of Perinatology. 32(11). 1001–1009. 19 indexed citations
8.
Abhyankar, Swapna, Dina Demner‐Fushman, Fiona Callaghan, & Clement J. McDonald. (2014). Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis. Journal of the American Medical Informatics Association. 21(5). 801–807. 49 indexed citations
9.
Callaghan, Fiona, Kira Leishear, Swapna Abhyankar, Dina Demner‐Fushman, & Clement J. McDonald. (2014). High vitamin B12 levels are not associated with increased mortality risk for ICU patients after adjusting for liver function: A cohort study. PubMed. 9(2). e76–e83. 19 indexed citations
10.
McDonald, Clement J., et al.. (2014). Use of Internist's Free Time by Ambulatory Care Electronic Medical Record Systems. JAMA Internal Medicine. 174(11). 1860–1860. 56 indexed citations
11.
Fung, Kin Wah, Mehmet Kayaalp, Fiona Callaghan, & Clement J. McDonald. (2013). Comparison of Electronic Pharmacy Prescription Records With Manually Collected Medication Histories in an Emergency Department. Annals of Emergency Medicine. 62(3). 205–211. 13 indexed citations
12.
Callaghan, Fiona, et al.. (2013). Do Language Fluency and Other Socioeconomic Factors Influence the Use of PubMed and MedlinePlus?. Applied Clinical Informatics. 4(2). 170–184. 4 indexed citations
13.
Kayaalp, Mehmet, et al.. (2013). The pattern of name tokens in narrative clinical text and a comparison of five systems for redacting them. Journal of the American Medical Informatics Association. 21(3). 423–431. 13 indexed citations
14.
Jaeger, Stefan, Alexandros Karargyris, Sema Candemir, et al.. (2013). Automatic Tuberculosis Screening Using Chest Radiographs. IEEE Transactions on Medical Imaging. 33(2). 233–245. 434 indexed citations breakdown →
15.
Winnenburg, Rainer, Laritza Rodriguez, Fiona Callaghan, et al.. (2013). Aligning Pharmacologic Classes Between MeSH and ATC. 3 indexed citations
17.
Abhyankar, Swapna, Kira Leishear, Fiona Callaghan, Dina Demner‐Fushman, & Clement J. McDonald. (2012). Lower short- and long-term mortality associated with overweight and obesity in a large cohort study of adult intensive care unit patients. Critical Care. 16(6). R235–R235. 84 indexed citations
18.
Callaghan, Fiona. (2008). CLASSIFICATION TREES FOR SURVIVAL DATA WITH COMPETING RISKS. D-Scholarship@Pitt (University of Pittsburgh). 3 indexed citations

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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