KJ Trainor

1.8k citations
19 papers · 1.6k · h-index 14

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 7
    • Viral-associated cancers and disorders 3
    • HER2/EGFR in Cancer Research 2

KJ Trainor

18 papers receiving 1.5k citations

Peers

KJ Trainor
Comparison fields: 5 of 69
  • Pathology and Forensic Medicine 756
  • Genetics 427
  • Dermatology 212
  • Hematology 257
  • Oncology 528
Replace DY Mason with:
DY Mason United Kingdom
Lawrence W. Diamond United States
AA Morley Australia
CM Spier United States
WC Chan United States
P. M. Kluin Netherlands
J P Sloane United Kingdom
Marco Fizzotti Italy
Paola Francia di Celle Italy
DY Mason United Kingdom
KJ Trainor relative to DY Mason United Kingdom DY Mason's profile →
Citations per field
00.5×1.6×
DY Mason · 1×
Citations per year

Countries citing papers authored by KJ Trainor

Since Specialization
Citations

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

Fields of papers citing papers by KJ Trainor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside KJ Trainor, 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 KJ Trainor Line = papers co-authored together KJ Trainor links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1991341
2 1990301
3 1991287
4 1990226
5 198872
6 198864
7
Cloning of human lymphocytes using limiting dilution.
198350
8 198545
9 197644
10 198625
11 199925
12 197823
13 199016
14
Chronic hypoplastic marrow failure and residual injury.
197813
15
Metabolism of 2-acetylaminofluorene in cultured human lymphocytes.
198711
16
A proliferative defect of marrow cells in experimental chronic hypoplastic marrow failure (aplastic anaemia).
19809
17 19797
18 19884
19 19911

About KJ Trainor

KJ Trainor is a scholar working on Genetics, Oncology, Pathology and Forensic Medicine, Hematology and Immunology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), HER2/EGFR in Cancer Research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (756 citations), Genetics (427 citations), Dermatology (212 citations), Hematology (257 citations) and Oncology (528 citations). KJ Trainor has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include AA Morley, M. J. Brisco, S. H. Neoh, MJ Brisco, Scott Grist, Alexander A. Morley, Alexander Dobrovic, R. Seshadri, J.L. Dempsey and David R. Turner. Their work appears in journals such as Blood, Journal of Clinical Pathology, JNCI Journal of the National Cancer Institute, Experimental Cell Research and The Lancet.

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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