David Nyman

515 citations
8 papers · 399 · h-index 5

Impact in

    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • Colorectal Cancer Treatments and Studies
    • Nanoparticle-Based Drug Delivery

Papers in

    • Chronic Lymphocytic Leukemia Research 3
    • Cancer Treatment and Pharmacology 3

David Nyman

7 papers receiving 381 citations

Peers

David Nyman
Comparison fields: 5 of 81
  • Oncology 179
  • Biomaterials 80
  • Pharmacology 30
  • Cancer Research 40
  • Nutrition and Dietetics 35
Replace Verena Schneider with:
Verena Schneider Germany
Jong-Jae Park South Korea
Xiaoli Song China
Nadica Matevska-Geshkovska North Macedonia
Jiangfeng Wang China
Alfons C. Wouterse Netherlands
Peter Tobin Australia
William L. Fritz United States
G G Thompson United Kingdom
Thomas Kunze Germany
David Nyman relative to Verena Schneider Germany Verena Schneider's profile →
Citations per field
00.5×1.5×2.3×
Verena Schneider · 1×
Citations per year

Countries citing papers authored by David Nyman

Since Specialization
Citations

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

Fields of papers citing papers by David Nyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside David Nyman, 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 David Nyman Line = papers co-authored together David Nyman links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2005230
2 198081
3 200444
4 200230
5 20049
6 20042
7 20052
8
Illegal fildelning i P2P-nätverk : ”Det är lugnt, du får bara böter”
20061

About David Nyman

David Nyman is a scholar working on Genetics, Oncology, Hematology, Pathology and Forensic Medicine and Management Information Systems, having authored 8 papers that have together received 399 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Multiple Myeloma Research and Treatments (2 papers), Trace Elements in Health (1 paper), Prostate Cancer Treatment and Research (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Heavy Metal Exposure and Toxicity (1 paper). The work is most often cited by research in Oncology (179 citations), Biomaterials (80 citations), Pharmacology (30 citations), Cancer Research (40 citations) and Nutrition and Dietetics (35 citations). David Nyman has collaborated with scholars based in United States. Frequent co-authors include Kenneth A. Conrad, Daniel D. Von Hoff, Vuong Trieu, Neil Desai, Kelly M. Richardson, Evan M. Hersh, Kristen B. Long, Michael Hawkins, Bruce L. Dalkin and A. Jay Gandolfi. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cell Biology and Toxicology, Clinical Pharmacology & Therapeutics and KTH Publication Database DiVA (KTH Royal Institute of Technology).

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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