Daniel S. Schultz

933 citations
15 papers · 660 · h-index 8

Impact in

Papers in

    • Bladder and Urothelial Cancer Treatments 2
    • Adrenal and Paraganglionic Tumors 2
    • Pancreatic and Hepatic Oncology Research 2

Daniel S. Schultz

15 papers receiving 640 citations

Peers

Daniel S. Schultz
Comparison fields: 5 of 65
  • Pulmonary and Respiratory Medicine 375
  • Cancer Research 117
  • Rheumatology 92
  • Physiology 71
  • Molecular Biology 191
Replace Takashi Tsuchiya with:
Takashi Tsuchiya Japan
Asuka Araki Japan
Marianne Lidang Jensen Denmark
Jair Tenorio Spain
Haruhiro Sato Japan
Bernd Feyerabend Germany
Felix Y. Feng United States
Yan Du China
Jiumei Cao China
H. Lang France
Daniel S. Schultz relative to Takashi Tsuchiya Japan Takashi Tsuchiya's profile →
Citations per field
00.5×6.5×
Takashi Tsuchiya · 1×
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

15 of 15 papers shown
#Work
1 1997257
2 1993176
3 202385
4 199931
5 199326
6 200822
7 199218
8
The detection of Epstein-Barr virus in hairy cell leukemia cells by in situ hybridization.
199015
9 19947
10 19937
11 19995
12 19944
13 19944
14
Multiple definitions of PWI-DWI mismatch reliably predict infarct growth
20042
15 19911

About Daniel S. Schultz

Daniel S. Schultz is a scholar working on Surgery, Oncology, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 660 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Photodynamic Therapy Research Studies (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Glioma Diagnosis and Treatment (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (375 citations), Cancer Research (117 citations), Rheumatology (92 citations), Physiology (71 citations) and Molecular Biology (191 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, David G. Bostwick, W. Marsh, Paul A. Dundore, Richard J. Zarbo and Mitual Amin. Their work appears in journals such as American Journal of Clinical Pathology, Archives of Pathology & Laboratory Medicine, Human Pathology, Nature Communications and Stroke.

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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