Carol A. Marchant

2.1k citations
16 papers · 952 indexed · h-index 11
Topics
Computational Drug Discovery Methods (9 papers)Carcinogens and Genotoxicity Assessment (6 papers)Analytical Chemistry and Chromatography (3 papers)

In The Last Decade

Carol A. Marchant

15 papers receiving 848 citations

Peers

Carol A. Marchant
Comparison fields: 5 of 95
  • Computational Theory and Mathematics 585
  • Molecular Biology 318
  • Pharmacology 174
  • Spectroscopy 130
  • Cancer Research 125
Replace Philip N. Judson with:
Philip N. Judson United Kingdom
Ivanka Tsakovska Bulgaria
Wolfgang Muster Switzerland
J. J. Langowski United Kingdom
Alexander Amberg Germany
Alexander Sedykh United States
Todor Pavlov Bulgaria
Alberto Manganaro Italy
Andreas Czich Germany
Naomi L. Kruhlak United States
Carol A. Marchant relative to Philip N. Judson United Kingdom Philip N. Judson's profile →
Citations per field
00.5×1.5×
Philip N. Judson · 1×
Citations per year

Countries citing papers authored by Carol A. Marchant

Since Specialization
Citations

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

Fields of papers citing papers by Carol A. Marchant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol A. Marchant

This figure shows the co-authorship network connecting the top 25 collaborators of Carol A. Marchant. A scholar is included among the top collaborators of Carol A. Marchant 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 Carol A. Marchant. Carol A. Marchant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 10
2 9
3 32
4 17
5 49
6 247
7 92
8 45
9 3
10 41
11 0
12 196
13 34
14 162
15 13
16 2

About Carol A. Marchant

Carol A. Marchant is a scholar working on Chemical Health and Safety, Computational Theory and Mathematics and Cancer Research, having authored 16 papers that have together received 952 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Computational Theory and Mathematics (585 citations), Chemical Health and Safety (19 citations) and Pharmacology (174 citations). Carol A. Marchant has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Anthony D. Long, Katharine Briggs, Philip N. Judson, J. J. Langowski, Nigel Greene, Jonathan D. Vessey, Chihae Yang, R. Benz, Joseph F. Contrera and Martin D. Barratt. Their work appears in journals such as Environmental Health Perspectives, Toxicology and Toxicology Letters.

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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