Mackenzie Bowman

2.4k citations
45 papers · 1.4k indexed · h-index 18

Mackenzie Bowman

41 papers receiving 1.4k citations

Peers

Mackenzie Bowman
Comparison fields: 5 of 89
  • Hematology 760
  • Internal Medicine 62
  • Genetics 169
  • Molecular Biology 462
  • Cardiology and Cardiovascular Medicine 152
Replace Loredana Bury with:
Loredana Bury Italy
Valérie Proulle France
Hideo Kagawa Japan
Renata Grozovsky United States
S Fukuhara Japan
Shinsaku Hirosawa Japan
M. Keeney Canada
Carlo L. Balduini Italy
Yona Nadir Israel
B. Hugel France
Mackenzie Bowman relative to Loredana Bury Italy Loredana Bury's profile →
Citations per field
00.5×3.4×
Loredana Bury · 1×
Citations per year

Countries citing papers authored by Mackenzie Bowman

Since Specialization
Citations

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

Fields of papers citing papers by Mackenzie Bowman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20233
4 20227
5 20211
6 202020
7 202011
8 201950
9 201921
10 201911
11 201731
12 201711
13 201649
14 201355
15 20133
16 201099
17 201040
18 2008165
19 200734
20 199431

About Mackenzie Bowman

Mackenzie Bowman is a scholar working on Hematology, Internal Medicine, Genetics, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (31 papers), Blood groups and transfusion (12 papers), Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Heparin-Induced Thrombocytopenia and Thrombosis (6 papers), Hemophilia Treatment and Research (6 papers), Blood disorders and treatments (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Autoimmune Bullous Skin Diseases (4 papers). The work is most often cited by research in Hematology (760 citations), Internal Medicine (62 citations), Genetics (169 citations), Molecular Biology (462 citations) and Cardiology and Cardiovascular Medicine (152 citations). Mackenzie Bowman has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Paula James, Saraswati Sukumar, David Lillicrap, Poojadevi Sharma, Wilma M. Hopman, Julie Grabell, Ingo B. Runnebaum, D Soto, D. RAPSON and Paula James. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Blood, Haemophilia, Blood Advances and Proceedings of the National Academy of Sciences.

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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