AT Nurden

3.1k citations
33 papers · 2.5k indexed · 2 hit papers · h-index 20

AT Nurden

33 papers receiving 2.4k citations

Hit Papers

Glanzmann's thrombasthenia: the spectrum of clinical disease4521990202620022014100200300400500

Peers

AT Nurden
Comparison fields: 5 of 87
  • Hematology 2.1k
  • Immunology and Allergy 609
  • Internal Medicine 106
  • Genetics 296
  • Pulmonary and Respiratory Medicine 745
Replace TJ Kunicki with:
TJ Kunicki United States
JP Caen France
L E Scudder United States
DD Wagner United States
Morio Arai Japan
Évelyne Dupuy France
G Tobelem France
RL Nachman United States
L.A. Erickson United States
Marta Tonello Italy
AT Nurden relative to TJ Kunicki United States TJ Kunicki's profile →
Citations per field
00.5×5.3×
TJ Kunicki · 1×
Citations per year

Countries citing papers authored by AT Nurden

Since Specialization
Citations

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

Fields of papers citing papers by AT Nurden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199633
2 199528
3 1993311
4 199318
5 199233
6 19921
7
Glanzmann's thrombasthenia: the spectrum of clinical diseasebreakdown →
1990452
8 1990130
9 199010
10 19892
11 198949
12 19862
13 198686
14 198475
15 198422
16 198220
17
Defective alpha-granule production in megakaryocytes from gray platelet syndrome: ultrastructural studies of bone marrow cells and megakaryocytes growing in culture from blood precursors.
1981100
18 198161
19 19818
20 197868

About AT Nurden

AT Nurden is a scholar working on Hematology, Genetics, Pulmonary and Respiratory Medicine, Internal Medicine and Immunology and Allergy, having authored 33 papers that have together received 2.5k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (32 papers), Blood properties and coagulation (19 papers), Heparin-Induced Thrombocytopenia and Thrombosis (9 papers), Blood disorders and treatments (7 papers), Blood groups and transfusion (6 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Hematology (2.1k citations), Immunology and Allergy (609 citations), Internal Medicine (106 citations), Genetics (296 citations) and Pulmonary and Respiratory Medicine (745 citations). AT Nurden has collaborated with scholars based in France, United States and Russia. Frequent co-authors include JP Caen, JN George, TJ Kunicki, Dominique Pidard, JP Rosa, J-M Freyssinet, P Hourdillé, Nicolas Kieffer, E Heilmann and KJ Clemetson. Their work appears in journals such as Blood, Blood Coagulation & Fibrinolysis and PubMed.

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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