David N. Danforth

13.1k citations
120 papers · 8.2k indexed · 2 hit papers · h-index 43

David N. Danforth

119 papers receiving 7.9k citations

Hit Papers

Randomized prospective study of the benefit of adjuvant r...1.1k19952026200520152505007501000

Peers

David N. Danforth
Comparison fields: 5 of 149
  • Cancer Research 2.9k
  • Oncology 3.1k
  • Pathology and Forensic Medicine 1.4k
  • Pulmonary and Respiratory Medicine 1.9k
  • Obstetrics and Gynecology 388
Replace Thomas Krausz with:
Thomas Krausz United States
Peter A. McCue United States
Olivier Cussenot France
Marc K. Halushka United States
U. Göbel Germany
Joanne Kurtzberg United States
Abdul‐Badi Abou‐Samra United States
Rainer Kimmig Germany
Ross S. Berkowitz United States
D. Wallwiener Germany
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Citations per field
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Citations per year

Countries citing papers authored by David N. Danforth

Since Specialization
Citations

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

Fields of papers citing papers by David N. Danforth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202172
2 20203
3 2020121
4 2018110
5 20097
6 200620
7 200322
8 2003429
9 200261
10 200285
11 199833
12 19953
13
Interleukin-1 alpha and interleukin-6 act additively to inhibit growth of MCF-7 breast cancer cells in vitro.
199365
14 199297
15 1988145
16 198512
17 1974187
18
Textbook of obstetrics and gynecology
196645
19 19602
20
Thrombophlebitis in antepartum patients
19596

About David N. Danforth

David N. Danforth is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 120 papers that have together received 8.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (35 papers), Breast Lesions and Carcinomas (16 papers), Estrogen and related hormone effects (9 papers), Cancer Treatment and Pharmacology (9 papers), Lymphoma Diagnosis and Treatment (8 papers), BRCA gene mutations in cancer (7 papers), Immunotherapy and Immune Responses (7 papers) and Breast Implant and Reconstruction (6 papers). The work is most often cited by research in Cancer Research (2.9k citations), Oncology (3.1k citations) and Pathology and Forensic Medicine (1.4k citations). David N. Danforth has collaborated with scholars based in United States, Cameroon and France. Frequent co-authors include Seth M. Steinberg, Marc E. Lippman, Eli Glatstein, Allen S. Lichter, Maria J. Merino, John C. Buckingham, Sandra M. Swain, Teresa D'Angelo, A Baker and Alfred E. Chang. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Journal of Clinical Oncology, Breast Cancer Research and Treatment, International Journal of Radiation Oncology*Biology*Physics and Clinical Obstetrics & Gynecology.

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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