D. Snyder

434 citations
10 papers · 368 · h-index 6

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

D. Snyder

9 papers receiving 353 citations

Peers

D. Snyder
Comparison fields: 5 of 31
  • Hematology 305
  • Genetics 99
  • Public Health, Environmental and Occupational Health 103
  • Oncology 83
  • Rheumatology 43
Replace Nadja Jaekel with:
Nadja Jaekel Germany
S Kusumoto Japan
Patrizia Scaravaglio Italy
Marilena Caresana Italy
E. T. van’t Veer-Korthof Germany
G Yoffe United States
JM Boiron France
Malgorzata Monika Trawinska Italy
Barbara Rocca Italy
John Liu Yin United Kingdom
D. Snyder relative to Nadja Jaekel Germany Nadja Jaekel's profile →
Citations per field
00.5×1.5×
Nadja Jaekel · 1×
Citations per year

Countries citing papers authored by D. Snyder

Since Specialization
Citations

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

Fields of papers citing papers by D. Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1991150
2 198783
3 199570
4 198626
5 198721
6
Detection of the Philadelphia chromosome in paraffin-embedded tissue by fluorescence in situ hybridization.
199411
7 19985
8
NCCN Practice Guidelines for Chronic Myelogenous Leukemia.
20001
9 20041
10 20080

About D. Snyder

D. Snyder is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Pulmonary and Respiratory Medicine and Surgery, having authored 10 papers that have together received 368 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Bone and Joint Diseases (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Gallbladder and Bile Duct Disorders (1 paper). The work is most often cited by research in Hematology (305 citations), Genetics (99 citations), Public Health, Environmental and Occupational Health (103 citations), Oncology (83 citations) and Rheumatology (43 citations). D. Snyder has collaborated with scholars based in United States, Australia and India. Frequent co-authors include SJ Forman, NJ Chao, KG Blume, A Foti, S H Advani, Steven L. Allen, John M. Goldman, Menashe Bar‐Eli, HG Ahuja and M J Cline. Their work appears in journals such as Journal of Clinical Oncology, Blood, Gastroenterology, Journal of Clinical Investigation and Transplantation.

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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