Anda Bularga

64 papers receiving 2.9k citations

Anda Bularga's Hit Papers

Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease 2024 · 65 citations
650+1+3Years since publication100200300400500

Peers

Anda Bularga
Comparison fields: 5 of 120
  • Neurology 863
  • Cardiology and Cardiovascular Medicine 863
  • Infectious Diseases 473
  • Health Informatics 43
  • Pollution 162
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Pierre‐Olivier Bridevaux Switzerland
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Countries citing papers authored by Anda Bularga

Since Specialization
Citations

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

Fields of papers citing papers by Anda Bularga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anda Bularga, 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 Anda Bularga Line = papers co-authored together Anda Bularga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study
Hit paper breakdown →
2021504
2 2020363
3 2020319
4
Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study
Hit paper breakdown →
2022310
5 2019161
6 2021126
7
Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations
Hit paper breakdown →
2023103
8 202287
9 201983
10 202168
11 202166
12
Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease
Hit paper breakdown →
202465
13 202251
14 202342
15 202136
16 202235
17 202335
18 202232
19 202231
20 202127

About Anda Bularga

Anda Bularga is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Infectious Diseases and Geriatrics and Gerontology, having authored 69 papers that have together received 3k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (31 papers), Cardiac Imaging and Diagnostics (15 papers), Long-Term Effects of COVID-19 (11 papers), COVID-19 Clinical Research Studies (9 papers), COVID-19 and healthcare impacts (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cardiac Valve Diseases and Treatments (2 papers) and Frailty in Older Adults (2 papers). The work is most often cited by research in Neurology (863 citations), Cardiology and Cardiovascular Medicine (863 citations), Infectious Diseases (473 citations), Health Informatics (43 citations) and Pollution (162 citations). Anda Bularga has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Nicholas L. Mills, David Ernest Newby, Kuan Ken Lee, Andrew R. Chapman, Rong Bing, Anoop S.V. Shah, Dimitrios Doudesis, Fiona E. Strachan, Ryan Wereski and Marc Richard Dweck. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, European Heart Journal, The Lancet Respiratory Medicine and European Heart Journal - Cardiovascular Imaging.

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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