Sandra K. Freeman

25 papers receiving 606 citations

Peers

Sandra K. Freeman
Comparison fields: 5 of 59
  • Infectious Diseases 138
  • Epidemiology 195
  • Health 41
  • Organic Chemistry 150
  • Molecular Biology 342
Replace Vito Di Cioccio with:
Vito Di Cioccio Italy
Andrew Prussia United States
Linghang Peng United States
Maria Seifer United States
Man Xing China
Nils‐Gunnar Johansson Sweden
Catherine Caillet France
Ian W. Windsor United States
Keith H. Ansell United Kingdom
Nandini S. Kishore United States
Sandra K. Freeman relative to Vito Di Cioccio Italy Vito Di Cioccio's profile →
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Citations per year

Countries citing papers authored by Sandra K. Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Sandra K. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra K. Freeman. 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 Sandra K. Freeman. The network helps show where Sandra K. Freeman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995101
2 199758
3 201454
4 198054
5 199553
6 199746
7 199840
8 199740
9 201540
10 199737
11 199729
12 201022
13 200414
14 198313
15 201013
16 199710
17 19969
18 19899
19 19877
20 19895

About Sandra K. Freeman

Sandra K. Freeman is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 25 papers that have together received 670 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Virology and Viral Diseases (4 papers), T-cell and B-cell Immunology (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Antifungal resistance and susceptibility (3 papers). The work is most often cited by research in Infectious Diseases (138 citations), Epidemiology (195 citations), Health (41 citations), Organic Chemistry (150 citations) and Molecular Biology (342 citations). Sandra K. Freeman has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Charles A. McWherter, Jeffrey I. Gordon, James A. Sikorski, Balekudru Devadas, Mark E. Zupec, Daniel P. Getman, Nandini S. Kishore, Srinivasan Nagarajan, Stephen C. Lee and David Brown. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Open Forum Infectious Diseases and Journal of Clinical Microbiology.

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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