D. Tenza

552 citations
14 papers · 383 · h-index 10

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Blood Coagulation and Thrombosis Mechanisms
    • Cell Adhesion Molecules Research

Papers in

    • Platelet Disorders and Treatments 9
    • Blood groups and transfusion 2
    • Blood Coagulation and Thrombosis Mechanisms 2
    • Acute Myeloid Leukemia Research 1

D. Tenza

14 papers receiving 364 citations

Peers

D. Tenza
Comparison fields: 5 of 65
  • Hematology 205
  • Immunology and Allergy 38
  • Genetics 50
  • Cell Biology 79
  • Internal Medicine 12
Replace Konomi Fujimura with:
Konomi Fujimura Japan
Simone Schuhler France
Martina Morowski Germany
Shirley A. Steward United States
Cassandra P. Loren United States
Georgi Manukjan Germany
Guangyao Yu United States
Gauthami S. Jalagadugula United States
Elizabeth I. Valoret United States
B J Warn-Cramer United States
D. Tenza relative to Konomi Fujimura Japan Konomi Fujimura's profile →
Citations per field
00.5×2×3×4×5×
Konomi Fujimura · 1×
Citations per year

Countries citing papers authored by D. Tenza

Since Specialization
Citations

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

Fields of papers citing papers by D. Tenza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 199396
2 199049
3 200047
4 199438
5 199137
6
von Willebrand factor storage requires intact prosequence cleavage site.
199334
7 199127
8 199320
9 199015
10 198712
11 19874
12 19952
13 20031
14 19931

About D. Tenza

D. Tenza is a scholar working on Hematology, Cell Biology, Genetics, Pulmonary and Respiratory Medicine and Cancer Research, having authored 14 papers that have together received 383 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (9 papers), Blood properties and coagulation (4 papers), Blood groups and transfusion (2 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Protease and Inhibitor Mechanisms (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (205 citations), Immunology and Allergy (38 citations), Genetics (50 citations), Cell Biology (79 citations) and Internal Medicine (12 citations). D. Tenza has collaborated with scholars based in France, Israel and United Kingdom. Frequent co-authors include Elisabeth Martin Cramer, Richard F. Levine, Amiram Eldor, Jacques Philippe Caen, Zhongchao Han, Sylviane Levy-Toledano, Sylvia Bellucci, Graça Raposo, Antoine Dürrbach and Evelyne Coudrier. Their work appears in journals such as British Journal of Haematology, Platelets, Journal of Histochemistry & Cytochemistry, Biochemical Journal and Traffic.

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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