David Nathanson

3.1k citations
76 papers · 2.1k indexed · h-index 24

David Nathanson

70 papers receiving 2.0k citations

Peers

David Nathanson
Comparison fields: 5 of 111
  • Oncology 901
  • Endocrinology, Diabetes and Metabolism 509
  • Cancer Research 411
  • Pathology and Forensic Medicine 243
  • Immunology 203
Replace Atsuhiko Sakamoto with:
Atsuhiko Sakamoto Japan
Alberto Costa Italy
Eli Rosenbaum Israel
Ruggero Dittadi Italy
A. Rubagotti Italy
Antonia Martinetti Italy
Peter Krippl Austria
Sun Young Min South Korea
Rossella Lauria Italy
Cinzia Orlandini Italy
David Nathanson relative to Atsuhiko Sakamoto Japan Atsuhiko Sakamoto's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Nathanson

Since Specialization
Citations

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

Fields of papers citing papers by David Nathanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20222
3 20224
4 202142
5 20200
6 201834
7 201617
8
First-line and intensified treatment with glucose lowering drugs in the Swedish type 2 diabetes population
20151
9
Second-line treatment with sulfonylurea compared to DPP4 inhibitors demonstrated associations with earlier treatment intensification with insulin
20154
10 201020
11 200992
12 20074
13 200622
14 2003345
15 20020
16 199978
17 199723
18 199331
19 19917
20 19905

About David Nathanson

David Nathanson is a scholar working on Oncology, Cancer Research, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Transplantation, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Diabetes Treatment and Management (12 papers), Cancer Cells and Metastasis (9 papers), Global Cancer Incidence and Screening (9 papers), Breast Lesions and Carcinomas (7 papers), Lymphatic System and Diseases (6 papers), Cutaneous Melanoma Detection and Management (6 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Oncology (901 citations), Endocrinology, Diabetes and Metabolism (509 citations), Cancer Research (411 citations), Pathology and Forensic Medicine (243 citations) and Immunology (203 citations). David Nathanson has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Thomas Nyström, Johan Bodegård, Anna Norhammar, Marcus Thuresson, Jan W. Eriksson, Marianne Ulcickas Yood, Kåre I. Birkeland, Peter Fenici, Thomas Nyström and Christine Cole Johnson. Their work appears in journals such as Neuro-Oncology, Clinical & Experimental Metastasis, Annals of Surgical Oncology, Journal of Surgical Oncology and Diabetologia.

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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