Christopher Leveque

1.7k citations
27 papers · 679 · h-index 11

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Christopher Leveque

26 papers receiving 661 citations

Peers

Christopher Leveque
Comparison fields: 5 of 71
  • Hematology 150
  • Infectious Diseases 156
  • Obstetrics and Gynecology 47
  • Neurology 63
  • Transplantation 10
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Suman L. Sood United States
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Hara Prasad Pati India
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Leveque

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Leveque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher Leveque, 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 Christopher Leveque Line = papers co-authored together Christopher Leveque 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 2020131
2 2014113
3 202093
4 201483
5 200964
6 199531
7 201728
8 201624
9 201023
10 201323
11 201717
12 20187
13 20117
14 20046
15 20215
16 20034
17 20193
18 20083
19 19923
20 20172

About Christopher Leveque

Christopher Leveque is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Biochemistry, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 27 papers that have together received 679 indexed citations. Recurring topics across this work include Blood transfusion and management (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Central Venous Catheters and Hemodialysis (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Blood groups and transfusion (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Acute Myeloid Leukemia Research (2 papers) and Blood donation and transfusion practices (2 papers). The work is most often cited by research in Hematology (150 citations), Infectious Diseases (156 citations), Obstetrics and Gynecology (47 citations), Neurology (63 citations) and Transplantation (10 citations). Christopher Leveque has collaborated with scholars based in United States, Mexico and France. Frequent co-authors include Swaminathan P. Iyer, Eric Salazar, Stephen C. Pflugfelder, Warren Fiskus, Kapil N. Bhalla, Santhana G.T. Devaraj, Brian Castillo, David Joseph, Ahmed Shehabeldin and Todd N. Eagar. Their work appears in journals such as Journal of Clinical Apheresis, Transfusion, American Journal of Clinical Pathology, American Journal Of Pathology and Molecular Cancer Therapeutics.

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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