Sameer Parpia

143 papers receiving 4.7k citations

Sameer Parpia's Hit Papers

Core GRADE 1: overview of the Core GRADE approach 2025 · 62 citations
620+5+10Years since publication4008001.2k

Peers

Sameer Parpia
Comparison fields: 5 of 141
  • Internal Medicine 1.0k
  • Cancer Research 1.6k
  • Radiation 368
  • Oncology 738
  • Cardiology and Cardiovascular Medicine 544
Replace Sylvie Chabaud with:
Sylvie Chabaud France
Nam Phong Nguyen United States
Ralf‐Thorsten Hoffmann Germany
Maxine Sun United States
Steven G. Meranze United States
Fergus R Macbeth United Kingdom
Thomas A. Aloia United States
Jan Frisell Sweden
Margot E. T. Tesselaar Netherlands
Fergal J. Fleming United States
Sameer Parpia relative to Sylvie Chabaud France Sylvie Chabaud's profile →
Citations per field
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Sylvie Chabaud · 1×
Citations per year

Countries citing papers authored by Sameer Parpia

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Parpia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long-Term Results of Hypofractionated Radiation Therapy for Breast Cancer
Hit paper breakdown →
20101452
2 2013312
3
Diagnosis of Pulmonary Embolism with d -Dimer Adjusted to Clinical Probability
Hit paper breakdown →
2019243
4 2010207
5 2021136
6 2013128
7 2015112
8 2021103
9 202396
10 198988
11 201780
12 201480
13 201174
14 201571
15 201869
16 201369
17 201568
18
Core GRADE 1: overview of the Core GRADE approach
Hit paper breakdown →
202562
19 201460
20 202158

About Sameer Parpia

Sameer Parpia is a scholar working on Internal Medicine, Cancer Research, Hepatology, Surgery and Statistics, Probability and Uncertainty, having authored 156 papers that have together received 4.9k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (35 papers), Breast Cancer Treatment Studies (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Advanced Radiotherapy Techniques (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Meta-analysis and systematic reviews (5 papers), Creativity in Education and Neuroscience (5 papers) and Bariatric Surgery and Outcomes (5 papers). The work is most often cited by research in Internal Medicine (1.0k citations), Cancer Research (1.6k citations), Radiation (368 citations), Oncology (738 citations) and Cardiology and Cardiovascular Medicine (544 citations). Sameer Parpia has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Mark N. Levine, Jim A. Julian, Timothy Joseph Whelan, Anthony Fyles, Francisco E Perera, Jean‐Philippe Pignol, Himu R. Lukka, L. Grimard, Robert G. MacKenzie and K Schneider. Their work appears in journals such as Journal of Thrombosis and Haemostasis, PLoS ONE, International Journal of Radiation Oncology*Biology*Physics, Annals of Internal Medicine and BMJ Open.

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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