Daniel S. Schultz

674 citations
14 papers · 470 · h-index 8

Impact in

Papers in

    • Bladder and Urothelial Cancer Treatments 2
    • Adrenal and Paraganglionic Tumors 2
    • Cancer Genomics and Diagnostics 3
    • Cancer, Hypoxia, and Metabolism 2

Daniel S. Schultz

14 papers receiving 454 citations

Peers

Daniel S. Schultz
Comparison fields: 5 of 65
  • Cancer Research 139
  • Pulmonary and Respiratory Medicine 276
  • Molecular Biology 242
  • Physiology 87
  • Biological Psychiatry 6
Replace Marianne Lidang Jensen with:
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Citations per field
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Citations per year

Countries citing papers authored by Daniel S. Schultz

Since Specialization
Citations

This map shows the geographic impact of Daniel S. Schultz'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. Schultz 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. Schultz more than expected).

Fields of papers citing papers by Daniel S. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1997256
2 202373
3 199931
4 199326
5 200821
6 199218
7
The detection of Epstein-Barr virus in hairy cell leukemia cells by in situ hybridization.
199015
8 19947
9 19937
10 19995
11 19944
12 19944
13
Multiple definitions of PWI-DWI mismatch reliably predict infarct growth
20042
14 19911

About Daniel S. Schultz

Daniel S. Schultz is a scholar working on Surgery, Cancer Research, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 14 papers that have together received 470 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Bladder and Urothelial Cancer Treatments (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Photodynamic Therapy Research Studies (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Glioma Diagnosis and Treatment (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (139 citations), Pulmonary and Respiratory Medicine (276 citations), Molecular Biology (242 citations), Physiology (87 citations) and Biological Psychiatry (6 citations). Daniel S. Schultz has collaborated with scholars based in United States and Canada. Frequent co-authors include Mahul B. Amin, Satish K. Tickoo, James Kubus, Christopher L. Corless, Andrew A. Renshaw, Richard J. Zarbo, Mitual Amin, Usha Raju, Alena Shostak and J. Maldonado. Their work appears in journals such as American Journal of Clinical Pathology, Archives of Pathology & Laboratory Medicine, The American Journal of Surgical Pathology, Nature Communications and Human 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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