Daniel Morton

95 papers receiving 2.5k citations

Peers

Daniel Morton
Comparison fields: 5 of 142
  • Small Animals 292
  • Obstetrics and Gynecology 190
  • Pharmacology 352
  • Cancer Research 301
  • Immunology 348
Replace V.H.T. James with:
V.H.T. James United Kingdom
David S. Loose United States
Terry S. Elton United States
E. W. HORTON United Kingdom
U. Zor Israel
Hisahiko Sekihara Japan
Nicholas J. G. Webster United States
R. De Coster Belgium
Riccardo Bertini Italy
Stéphane Gesta United States
Daniel Morton relative to V.H.T. James United Kingdom V.H.T. James's profile →
Citations per field
00.5×9.7×
V.H.T. James · 1×
Citations per year

Countries citing papers authored by Daniel Morton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Morton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007330
2 2009238
3 2006211
4 1970171
5 2006163
6 2011151
7 200277
8 201066
9 200964
10 200360
11 201257
12 200852
13 201152
14 201051
15 196646
16 200545
17 201245
18 200642
19 201242
20 197442

About Daniel Morton

Daniel Morton is a scholar working on Molecular Biology, Cancer Research, Immunology, Epidemiology and Surgery, having authored 98 papers that have together received 2.8k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (15 papers), Immunotoxicology and immune responses (15 papers), Animal testing and alternatives (12 papers), Endometrial and Cervical Cancer Treatments (11 papers), Cervical Cancer and HPV Research (9 papers), Phosphodiesterase function and regulation (5 papers), Receptor Mechanisms and Signaling (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Small Animals (292 citations), Obstetrics and Gynecology (190 citations), Pharmacology (352 citations), Cancer Research (301 citations) and Immunology (348 citations). Daniel Morton has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Diane Stephenson, Frank S. Menniti, Robin J. Kleiman, Rani S. Sellers, Wendy O. Adamowicz, Daniel R. Mishell, Barry L. Yano, Nigel Roome, Kenneth A. Schafer and Rick Perry. Their work appears in journals such as Toxicologic Pathology, American Journal of Obstetrics and Gynecology, Obstetrical & Gynecological Survey, Clinical Obstetrics & Gynecology and Journal of Histochemistry & Cytochemistry.

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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