A Traynor

435 citations
8 papers · 164 · h-index 7

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Polyomavirus and related diseases
    • Neutropenia and Cancer Infections

Papers in

    • Hematopoietic Stem Cell Transplantation 2
    • Acute Myeloid Leukemia Research 1
    • Mitochondrial Function and Pathology 2
    • Ubiquitin and proteasome pathways 1

A Traynor

8 papers receiving 157 citations

Peers

A Traynor
Comparison fields: 5 of 50
  • Hematology 72
  • Oncology 44
  • Transplantation 4
  • Genetics 12
  • Pathology and Forensic Medicine 19
Replace Qiao‐Cheng Qiu with:
Qiao‐Cheng Qiu China
Meredith Saylor United States
Matheus Rodrigues Lopes Brazil
Chandrika Sanapala United States
Olimpia Finizio Italy
Leire Burgos Spain
Juan Pablo Meza-Espinoza Mexico
Michael Pearlman United States
E. Jamieson United Kingdom
Valeria Calafiore Italy
A Traynor relative to Qiao‐Cheng Qiu China Qiao‐Cheng Qiu's profile →
Citations per field
00.5×1.5×2.4×
Qiao‐Cheng Qiu · 1×
Citations per year

Countries citing papers authored by A Traynor

Since Specialization
Citations

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

Fields of papers citing papers by A Traynor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside A Traynor, 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 A Traynor Line = papers co-authored together A Traynor links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200253
2 200236
3
Phospholipases elevate cyclic AMP levels and promote neurite extension in a clonal nerve cell line.
198426
4 200119
5 198910
6
cAMP influence on transcription of thrombomodulin is dependent on de novo synthesis of a protein intermediate: evidence for cohesive regulation of myogenic proteins in vascular smooth muscle.
19958
7 19997
8 19995

About A Traynor

A Traynor is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 8 papers that have together received 164 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Acute Myeloid Leukemia Research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Hematology (72 citations), Oncology (44 citations), Transplantation (4 citations), Genetics (12 citations) and Pathology and Forensic Medicine (19 citations). A Traynor has collaborated with scholars based in United States. Frequent co-authors include David Schubert, Richard K. Burt, M Brush, Yu Oyama, Bruce A. Cohen, Charles L. Bennett, Alfred Rademaker, JN Winter, Stephanie Williams and JT Curnutte. Their work appears in journals such as Bone Marrow Transplantation, Blood 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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