M Seto

82 papers receiving 3.1k citations

Peers

M Seto
Comparison fields: 5 of 118
  • Genetics 599
  • Pathology and Forensic Medicine 889
  • Hematology 508
  • Cancer Research 441
  • Oncology 750
Replace R.S.K. Chaganti with:
R.S.K. Chaganti United States
S.C. Jhanwar United States
Susan Mathew United States
Hideaki Mizoguchi Japan
David Zahrieh United States
Akihiro Tomita Japan
N Kamada Japan
Panayiotis Panayiotidis Greece
Franziska Jundt Germany
Marı́a José Calasanz Spain
M Seto relative to R.S.K. Chaganti United States R.S.K. Chaganti's profile →
Citations per field
00.5×1.5×
R.S.K. Chaganti · 1×
Citations per year

Countries citing papers authored by M Seto

Since Specialization
Citations

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

Fields of papers citing papers by M Seto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988447
2 1988280
3 1987251
4 2008236
5 1987200
6
Gene rearrangement and overexpression of PRAD1 in lymphoid malignancy with t(11;14)(q13;q32) translocation.
1992165
7 1989116
8 1999101
9 200895
10
Frequency and clinical significance of the MLL gene rearrangements in infant acute leukemia.
199684
11 199478
12
MLLT3 gene on 9p22 involved in t(9;11) leukemia encodes a serine/proline rich protein homologous to MLLT1 on 19p13.
199374
13 199473
14
The RCK gene associated with t(11;14) translocation is distinct from the MLL/ALL-1 gene with t(4;11) and t(11;19) translocations.
199268
15 200760
16
Two distinct portions of LTG19/ENL at 19p13 are involved in t(11;19) leukemia.
199356
17 199954
18 201345
19 199943
20 197539

About M Seto

M Seto is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Hematology and Immunology, having authored 86 papers that have together received 3.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Chronic Lymphocytic Leukemia Research (12 papers), Acute Myeloid Leukemia Research (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Soil Carbon and Nitrogen Dynamics (6 papers), T-cell and Retrovirus Studies (5 papers) and Landslides and related hazards (5 papers). The work is most often cited by research in Genetics (599 citations), Pathology and Forensic Medicine (889 citations), Hematology (508 citations), Cancer Research (441 citations) and Oncology (750 citations). M Seto has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include S J Korsmeyer, W. Graninger, P Goldman, Ulrich Jaeger, Samantha Bennett, Richard D. Hockett, Rogers C. Griffith, Geoffrey P. Herzig, Marco Crescenzi and Ryuzo Ueda. Their work appears in journals such as Leukemia, Blood, Proceedings of the National Academy of Sciences, Microbes and Environments and The Journal of Pathology.

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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