Mariana Pfeferman

412 citations
15 papers · 226 · h-index 5

Impact in

Papers in

Mariana Pfeferman

9 papers receiving 220 citations

Peers

Mariana Pfeferman
Comparison fields: 5 of 46
  • Internal Medicine 64
  • Infectious Diseases 114
  • Neurology 66
  • Oncology 36
  • Cardiology and Cardiovascular Medicine 26
Replace Manon Lejeune with:
Manon Lejeune France
Mwanasha H. Merrill United States
Xiaojie Bi China
The Lancet Haematology
Adrian Doevelaar Germany
Mayte Sánchez van Kammen Netherlands
Stefano Fusco Germany
Matthieu Turpin France
Luca Esposito Italy
Giorgio A. Medranda United States
Mariana Pfeferman relative to Manon Lejeune France Manon Lejeune's profile →
Citations per field
00.5×4.5×
Manon Lejeune · 1×
Citations per year

Countries citing papers authored by Mariana Pfeferman

Since Specialization
Citations

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

Fields of papers citing papers by Mariana Pfeferman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2020190
2 202213
3 20216
4 20256
5 20234
6 20252
7 20252
8 20252
9 20251
10 20230
11 20260
12 20250
13 20250
14 20260
15 20260

About Mariana Pfeferman

Mariana Pfeferman is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine, Epidemiology, Infectious Diseases and Surgery, having authored 15 papers that have together received 226 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (7 papers), Atrial Fibrillation Management and Outcomes (2 papers), Acute Ischemic Stroke Management (2 papers), Genetic and Kidney Cyst Diseases (1 paper), Renal Diseases and Glomerulopathies (1 paper), Blood Pressure and Hypertension Studies (1 paper), Dialysis and Renal Disease Management (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). The work is most often cited by research in Internal Medicine (64 citations), Infectious Diseases (114 citations), Neurology (66 citations), Oncology (36 citations) and Cardiology and Cardiovascular Medicine (26 citations). Mariana Pfeferman has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include John Fanikos, Julia Snyder, Samuel Z. Goldhaber, Umberto Campia, Gregory Piazza, Zaid Almarzooq, Orly Leiva, Ruth B. Morrison, Shelley Hurwitz and Victor Nauffal. Their work appears in journals such as Journal of the American College of Cardiology, Thrombosis and Haemostasis, Circulation, Thrombosis Research and Seminars in Thrombosis and Hemostasis.

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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