W. Sanger

15 papers receiving 237 citations

Peers

W. Sanger
Comparison fields: 5 of 39
  • Pathology and Forensic Medicine 139
  • Genetics 73
  • Oncology 122
  • Neurology 32
  • Hematology 17
Replace Ronald Boonstra with:
Ronald Boonstra Netherlands
Kikuchi Japan
Silvia Finotto Italy
Mahsa Khanlari United States
Olga Kolman United States
Caoimhe Egan United States
Homayoun Shahidi United States
Anna Ruskova New Zealand
Renata Woroniecka Poland
Jane J. Liu United States
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Citations per year

Countries citing papers authored by W. Sanger

Since Specialization
Citations

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

Fields of papers citing papers by W. Sanger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 199565
2 199058
3
Experimental evidence for the origin of ductal-type adenocarcinoma from the islets of Langerhans.
199750
4 200013
5 199512
6 201012
7
'Killian syndrome' and mosaic tetrasomy 12p
198410
8
SCID/human mouse model of central nervous system lymphoproliferative disease.
19917
9
Evolution of clonality and invasive behavior of Epstein-Barr virus immortalized lymphoblastoid cell lines in SCID mice brains.
19925
10 20083
11
Two double translocation families.
19881
12 19991
13 20051
14
T(14;18)-negative non-cutaneous follicular lymphoma (FL): A clinicopathological study of 59 cases.
20071
15
ON-CHIP TRAPPING AND VIABILITY ASSESSMENT OF SUBMICROLITER PRIMARY TISSUES FOR PERSONALIZED TREATMENT OF OVARIAN CANCER
20131

About W. Sanger

W. Sanger is a scholar working on Pathology and Forensic Medicine, Oncology, Public Health, Environmental and Occupational Health, Hematology and Genetics, having authored 15 papers that have together received 240 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Acute Lymphoblastic Leukemia research (3 papers), Chromosomal and Genetic Variations (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Acute Myeloid Leukemia Research (2 papers), T-cell and Retrovirus Studies (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (139 citations), Genetics (73 citations), Oncology (122 citations), Neurology (32 citations) and Hematology (17 citations). W. Sanger has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include DD Weisenburger, P. Göran Elmberger, WC Chan, JO Armitage, J R Anderson, Katherine Kazakoff, Ilya Toshkov, Lamont G. Weide, Yoshito Ikematsu and S L Perkins. Their work appears in journals such as Blood, Archives of Pathology & Laboratory Medicine, Journal of Clinical Oncology, Journal of Pediatric Hematology/Oncology and Annals of the New York Academy of Sciences.

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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