Jennifer Curnow

2.0k citations
65 papers · 1.2k indexed · h-index 21

Jennifer Curnow

57 papers receiving 1.1k citations

Peers

Jennifer Curnow
Comparison fields: 5 of 96
  • Internal Medicine 443
  • Hematology 488
  • Cardiology and Cardiovascular Medicine 485
  • Critical Care and Intensive Care Medicine 51
  • Genetics 71
Replace Alessandra Malato with:
Alessandra Malato Italy
Joost J. van Veen United Kingdom
Jari Petäjä Finland
Pierre Toulon France
Marco Marietta Italy
Damon E. Houghton United States
Annemarie E. Fogerty United States
Thomas Decker Christensen Denmark
H R Büller Netherlands
E. C. M. van Pampus Netherlands
Jennifer Curnow relative to Alessandra Malato Italy Alessandra Malato's profile →
Citations per field
00.5×1.5×2.3×
Alessandra Malato · 1×
Citations per year

Countries citing papers authored by Jennifer Curnow

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Curnow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20231
4 20222
5 202127
6 20213
7 20215
8 20219
9 202029
10 201987
11 201949
12 201822
13 201725
14 20179
15 20165
16 201412
17 20142
18 201329
19 201317
20 198453

About Jennifer Curnow

Jennifer Curnow is a scholar working on Internal Medicine, Hematology and Genetics, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (24 papers), Platelet Disorders and Treatments (22 papers), Atrial Fibrillation Management and Outcomes (11 papers), Heparin-Induced Thrombocytopenia and Thrombosis (10 papers), Blood Coagulation and Thrombosis Mechanisms (10 papers), Blood groups and transfusion (10 papers), Hemophilia Treatment and Research (7 papers) and Antiplatelet Therapy and Cardiovascular Diseases (7 papers). The work is most often cited by research in Internal Medicine (443 citations), Hematology (488 citations) and Cardiology and Cardiovascular Medicine (485 citations). Jennifer Curnow has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Emmanuel J. Favaloro, Leonardo Pasalic, Caroline J. Reddel, Harshal Nandurkar, Laura Young, Leonard Kritharides, Simon McRae, Huyen Tran, Vivien Chen and Marie‐Christine Morel‐Kopp. Their work appears in journals such as Seminars in Thrombosis and Hemostasis, Pathology, Research and Practice in Thrombosis and Haemostasis, The Medical Journal of Australia and Blood.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026