Ann Traynor

3.6k citations
63 papers · 2.1k indexed · h-index 26

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 23
    • Autoimmune and Inflammatory Disorders Research 4
    • Chronic Myeloid Leukemia Treatments 4
    • Systemic Sclerosis and Related Diseases 17
    • Multiple Sclerosis Research Studies 4

Ann Traynor

62 papers receiving 2.0k citations

Peers

Ann Traynor
Comparison fields: 5 of 90
  • Hematology 680
  • Pathology and Forensic Medicine 647
  • Genetics 381
  • Rheumatology 432
  • Immunology 582
Replace Yu Oyama with:
Yu Oyama United States
Rogier M. Thurlings Netherlands
Juan Luis Garcı́a Spain
Chiaki Nakaseko Japan
Steven C. Ziesmer United States
Naoyoshi Mori Japan
C.A. Griffin United States
Marie Parrens France
Todd W. Kelley United States
Odilia B. J. Corneth Netherlands
Ann Traynor relative to Yu Oyama United States Yu Oyama's profile →
Citations per field
00.5×2.7×
Yu Oyama · 1×
Citations per year

Countries citing papers authored by Ann Traynor

Since Specialization
Citations

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

Fields of papers citing papers by Ann Traynor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2005193
2 200462
3 200434
4 200336
5 200330
6 20039
7 200314
8 200287
9 200246
10 200115
11 200041
12 200018
13 200017
14 199922
15 19995
16 19983
17 199816
18 199512
19 199432
20 19933

About Ann Traynor

Ann Traynor is a scholar working on Hematology, Pathology and Forensic Medicine, Rheumatology, Genetics and Genetics, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (23 papers), Systemic Sclerosis and Related Diseases (17 papers), Systemic Lupus Erythematosus Research (13 papers), Chronic Lymphocytic Leukemia Research (7 papers), Virus-based gene therapy research (6 papers), Multiple Sclerosis Research Studies (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Hematology (680 citations), Pathology and Forensic Medicine (647 citations), Genetics (381 citations), Rheumatology (432 citations) and Immunology (582 citations). Ann Traynor has collaborated with scholars based in United States, Philippines and United Kingdom. Frequent co-authors include Richard K. Burt, Yu Oyama, Mary Brush, Robert M. Craig, Steven T. Rosen, Robert M. Rosa, James Schroeder, Laisvyde Statkute, Steven K. Baker and Walter G. Barr. Their work appears in journals such as Blood, Bone Marrow Transplantation, Cancer treatment and research, Current Opinion in Oncology and Stem Cells.

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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