Daniel A. Casciano

6.5k total citations · 1 hit paper
176 papers, 5.3k citations indexed

About

Daniel A. Casciano is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Daniel A. Casciano has authored 176 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 80 papers in Cancer Research and 23 papers in Plant Science. Recurrent topics in Daniel A. Casciano's work include Carcinogens and Genotoxicity Assessment (74 papers), DNA Repair Mechanisms (40 papers) and Effects and risks of endocrine disrupting chemicals (15 papers). Daniel A. Casciano is often cited by papers focused on Carcinogens and Genotoxicity Assessment (74 papers), DNA Repair Mechanisms (40 papers) and Effects and risks of endocrine disrupting chemicals (15 papers). Daniel A. Casciano collaborates with scholars based in United States, Thailand and Romania. Daniel A. Casciano's co-authors include Alexandru S. Biris, Yang Xu, Syed F. Ali, Enkeleda Dervishi, Zhongrui Li, Yongbin Zhang, Joseph G. Shaddock, Robert H. Heflich, Anane Aidoo and Frederick A. Beland and has published in prestigious journals such as ACS Nano, Nature Biotechnology and Analytical Biochemistry.

In The Last Decade

Daniel A. Casciano

174 papers receiving 5.1k citations

Hit Papers

Cytotoxicity Effects of Graphene and Single-Wall Carbon N... 2010 2026 2015 2020 2010 250 500 750

Peers

Daniel A. Casciano
Comparison fields: 5 of 148
  • Molecular Biology 2.2k
  • Cancer Research 1.7k
  • Biomedical Engineering 1.4k
  • Materials Chemistry 1.1k
  • Health, Toxicology and Mutagenesis 628
Replace Erqun Song with:
Erqun Song China
Yang Li China
Dunyaporn Trachootham Thailand
Michael V. Berridge New Zealand
Chao Yu China
Tomáš Eckschlager Czechia
Parimal Karmakar India
Bernd Epe Germany
Masuo Kondoh Japan
William G. Helferich United States
Erqun Song China View profile →
Citations per field, relative to Daniel A. Casciano
Daniel A. Casciano · 1×
Citations per year, relative to Daniel A. Casciano
Daniel A. Casciano · 1×

Countries citing papers authored by Daniel A. Casciano

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Casciano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Casciano

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Casciano. A scholar is included among the top collaborators of Daniel A. Casciano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel A. Casciano. Daniel A. Casciano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 9
3 19
4 5
5 59
6 60
7 76
8 3
9 88
10 2
11 2
12 18
13 42
14 12
15 5
16 18
17 3
18 24
19 10
20 7

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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