Daniel S. Wechsler

3.1k citations
66 papers · 1.8k indexed · h-index 23

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

Daniel S. Wechsler

64 papers receiving 1.7k citations

Peers

Daniel S. Wechsler
Comparison fields: 5 of 110
  • Hematology 210
  • Genetics 198
  • Cancer Research 232
  • Molecular Biology 833
  • Immunology 249
Replace William C. Hyun with:
William C. Hyun United States
Jacqueline E. Payton United States
Frédéric Lopez France
Giorgia Santilli United Kingdom
Rouslan Kotchetkov Canada
Irina Golovleva Sweden
Rodrigo Jácamo United States
Xiaohong Leng United States
Morito Kurata Japan
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Citations per field
00.5×9.2×
William C. Hyun · 1×
Citations per year

Countries citing papers authored by Daniel S. Wechsler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Wechsler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Wechsler. 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 Daniel S. Wechsler. The network helps show where Daniel S. Wechsler may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202338
4 20228
5 20202
6 20205
7 20202
8 20206
9 201716
10 20159
11 20144
12 2009110
13 20052
14 20058
15 20049
16 200233
17 20023
18 199933
19
MXI1, a putative tumor suppressor gene, suppresses growth of human glioblastoma cells.
199786
20 199624

About Daniel S. Wechsler

Daniel S. Wechsler is a scholar working on Hematology, Genetics, Immunology, Cancer Research and Neurology, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Single-cell and spatial transcriptomics (6 papers), Neuroblastoma Research and Treatments (6 papers), Genomics and Chromatin Dynamics (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Trypanosoma species research and implications (5 papers) and Nuclear Structure and Function (4 papers). The work is most often cited by research in Hematology (210 citations), Genetics (198 citations), Cancer Research (232 citations), Molecular Biology (833 citations) and Immunology (249 citations). Daniel S. Wechsler has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Chi V. Dang, Catherine Lavau, P A Kongshavn, Jessica L. Heath, Samir Hanash, C Shelly, Andrew Youkilis, Claudia Sommer, Rork Kuick and Marietta Wolter. Their work appears in journals such as Blood, Journal of Pediatric Hematology/Oncology, Nature Communications, Infection and Immunity and Pediatric Blood & Cancer.

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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