Tamyra Downs

19 papers receiving 837 citations

Peers

Tamyra Downs
Comparison fields: 5 of 84
  • Sensory Systems 147
  • Hematology 228
  • Internal Medicine 28
  • Epidemiology 215
  • Infectious Diseases 99
Replace Yoshitsugu Kubota with:
Yoshitsugu Kubota Japan
Dariusz Zakrzewicz Germany
Victoria Lyo United States
Yaowu Zhu China
Valerie Nicolas‐Métral Switzerland
Daniela N. Petrusca United States
Terukazu Tanaka Japan
Emily J. Welch United States
Ingrid Stroo Netherlands
Tamyra Downs relative to Yoshitsugu Kubota Japan Yoshitsugu Kubota's profile →
Citations per field
00.5×8.6×
Yoshitsugu Kubota · 1×
Citations per year

Countries citing papers authored by Tamyra Downs

Since Specialization
Citations

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

Fields of papers citing papers by Tamyra Downs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2008150
2 198699
3 199299
4 198290
5 199661
6 200255
7 200350
8
Characteristics of a novel rat anti-mouse platelet monoclonal antibody: application to studies of megakaryocytes.
199247
9 199644
10 201343
11 199742
12 198523
13 199122
14
Canine megakaryocytopoiesis: analysis utilizing a monoclonal antibody to a 140-kd dog platelet protein.
199118
15 199213
16
Inhibition of the acute-phase response in vivo by anti-gp130 monoclonal antibodies.
19969
17 19968
18 19998
19 19912

About Tamyra Downs

Tamyra Downs is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Surgery, Cellular and Molecular Neuroscience and Internal Medicine, having authored 19 papers that have together received 883 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (10 papers), Blood properties and coagulation (5 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Ion Channels and Receptors (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Neurobiology and Insect Physiology Research (2 papers), Respiratory viral infections research (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Sensory Systems (147 citations), Hematology (228 citations), Internal Medicine (28 citations), Epidemiology (215 citations) and Infectious Diseases (99 citations). Tamyra Downs has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Paul Friese, Leonidas Tsiokas, Samuel A. Burstein, W. Paul Glezen, Patrick Delmas, Lise Rodat‐Despoix, Aurélie Giamarchi, Françoise Padilla, Chang‐Xi Bai and Michael H. Ivey. Their work appears in journals such as Blood, Thrombosis and Haemostasis, Infection and Immunity, British Journal of Haematology and Journal of Clinical Microbiology.

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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