Danai Bem

1.8k citations
27 papers · 811 · h-index 15

Impact in

  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Venous Thromboembolism Diagnosis and Management

Papers in

Danai Bem

27 papers receiving 805 citations

Peers

Danai Bem
Comparison fields: 5 of 99
  • Hematology 323
  • Internal Medicine 48
  • Genetics 94
  • Cardiology and Cardiovascular Medicine 168
  • Immunology and Allergy 36
Replace Gillian Lowe with:
Gillian Lowe United Kingdom
Eva Norström Sweden
Suchitra S. Acharya United States
Alexandra Smith Australia
Suma Choorapoikayil Germany
V. Vila Spain
Veerle Labarque Belgium
Prabodh Shah United States
Philip Connor United Kingdom
Ulka Sachdev United States
Danai Bem relative to Gillian Lowe United Kingdom Gillian Lowe's profile →
Citations per field
00.5×1.6×
Gillian Lowe · 1×
Citations per year

Countries citing papers authored by Danai Bem

Since Specialization
Citations

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

Fields of papers citing papers by Danai Bem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201281
2 201379
3 201268
4 201564
5 201961
6 201457
7 202355
8 201452
9 201544
10 201940
11 202133
12 201830
13 201727
14 201914
15 201614
16 202014
17 202114
18 201612
19 200410
20 20159

About Danai Bem

Danai Bem is a scholar working on Hematology, Cardiology and Cardiovascular Medicine, Surgery, Nephrology and Health Information Management, having authored 27 papers that have together received 811 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Renal Diseases and Glomerulopathies (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Cell Adhesion Molecules Research (2 papers), Electronic Health Records Systems (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Hematology (323 citations), Internal Medicine (48 citations), Genetics (94 citations), Cardiology and Cardiovascular Medicine (168 citations) and Immunology and Allergy (36 citations). Danai Bem has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Steve P. Watson, Marie Lordkipanidzé, Gillian Lowe, Martina E. Daly, Andrew Mumford, Ban B. Dawood, Neil V. Morgan, Carole Cummins, Jonathan T. Wilde and Michael A. Simpson. Their work appears in journals such as Blood, BMJ Open, PLoS ONE, Systematic Reviews and Platelets.

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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