Carol Gleason

1.5k citations
43 papers · 920 indexed · h-index 16
Topics
Biosimilars and Bioanalytical Methods (15 papers)Monoclonal and Polyclonal Antibodies Research (14 papers)Antibiotics Pharmacokinetics and Efficacy (9 papers)

In The Last Decade

Carol Gleason

42 papers receiving 879 citations

Peers

Carol Gleason
Comparison fields: 5 of 97
  • Pharmacology 372
  • Molecular Biology 242
  • Molecular Medicine 171
  • Immunology 167
  • Oncology 155
Replace J Kneer with:
J Kneer Switzerland
Kashyap Patel Australia
Xiaojie Wu China
Michael Seiberling Switzerland
Jennifer L. Hoover United States
Susan K. Paulson United States
Stephen A. Bai United States
Sarah L. Greig New Zealand
Stéphanie Chhun France
Arno Nolting United States
Carol Gleason relative to J Kneer Switzerland J Kneer's profile →
Citations per field
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J Kneer · 1×
Citations per year

Countries citing papers authored by Carol Gleason

Since Specialization
Citations

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

Fields of papers citing papers by Carol Gleason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Gleason

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Gleason. A scholar is included among the top collaborators of Carol Gleason 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 Gleason. Carol Gleason 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
#WorkIndexed citations
1 9
2 6
3 3
4 14
5 14
6 18
7 4
8 5
9 54
10 9
11 11
12 4
13 19
14 14
15
Echocardiographic reference ranges for sedated healthy cynomolgus monkeys (Macaca fascicularis).
14
16 40
17 63
18 12
19 12
20 2

About Carol Gleason

Carol Gleason is a scholar working on Applied Microbiology and Biotechnology, Immunology and Molecular Medicine, having authored 43 papers that have together received 920 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Antibiotics Pharmacokinetics and Efficacy (9 papers). The work is most often cited by research in Molecular Medicine (171 citations), Applied Microbiology and Biotechnology (46 citations) and Pharmacology (372 citations). Carol Gleason has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Rashmi H. Barbhaiya, Kelly Pittman, Wen Chyi Shyu, R. Russell Martin, S. Thomas Forgue, C A Knupp, D.J. Weidler, Umesh Shukla, Richard B. Wilber and Patricia D. Williams. Their work appears in journals such as Analytical Chemistry, Antimicrobial Agents and Chemotherapy and Journal of Pharmaceutical Sciences.

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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