Danielle Roman

27 papers receiving 354 citations

Peers

Danielle Roman
Comparison fields: 5 of 86
  • Hematology 52
  • Small Animals 32
  • Cancer Research 59
  • Pharmaceutical Science 22
  • Family Practice 5
Replace Sven Kronenberg with:
Sven Kronenberg Switzerland
Aurélie Fabre France
Dawn A. Bradbury United Kingdom
Patrizia Damonte Italy
John Dixon United Kingdom
Kirsten Scholz Germany
Marc E. Wiles United States
Mathew Loesch United States
A. Kominea Greece
H Yamanishi Japan
Danielle Roman relative to Sven Kronenberg Switzerland Sven Kronenberg's profile →
Citations per field
00.5×1.5×2×2.4×
Sven Kronenberg · 1×
Citations per year

Countries citing papers authored by Danielle Roman

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Roman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200663
2 201059
3
Evaluation of a new procedure for the flow cytometric analysis of in vitro, chemically induced micronuclei in V79 cells.
199829
4 199828
5 200625
6 201725
7 201521
8 200218
9 201017
10 200615
11 200414
12 20068
13 20066
14 20066
15 20056
16 20166
17 20025
18 20035
19 20074
20 20134

About Danielle Roman

Danielle Roman is a scholar working on Molecular Biology, Ophthalmology, Immunology, Cancer Research and Oncology, having authored 27 papers that have together received 378 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (6 papers), Carcinogens and Genotoxicity Assessment (3 papers), Inflammatory mediators and NSAID effects (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), NF-κB Signaling Pathways (2 papers), Ocular Surface and Contact Lens (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Immunotoxicology and immune responses (2 papers). The work is most often cited by research in Hematology (52 citations), Small Animals (32 citations), Cancer Research (59 citations), Pharmaceutical Science (22 citations) and Family Practice (5 citations). Danielle Roman has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include María Bobadilla, R. Markstein, Vicente Nogués, André Cordier, Willi Suter, Ursula Junker, Elke Persohn, Daniel Roth, Wolfgang Seewald and David Ledieu. Their work appears in journals such as Experimental and Toxicologic Pathology, Experimental Eye Research, Toxicology Letters, European Journal of Ophthalmology and Leukemia Research.

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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