Fred Burkhart

1.0k citations
12 papers · 839 · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 9
    • Chemical Synthesis and Analysis 7
    • Enzyme Catalysis and Immobilization 1
    • Receptor Mechanisms and Signaling 1
    • Carbohydrate Chemistry and Synthesis 9
    • Synthetic Organic Chemistry Methods 1

Fred Burkhart

12 papers receiving 815 citations

Peers

Fred Burkhart
Comparison fields: 5 of 57
  • Immunology and Allergy 161
  • Organic Chemistry 466
  • Radiology, Nuclear Medicine and Imaging 210
  • Molecular Biology 546
  • Biotechnology 37
Replace Ko‐Chung Lin with:
Ko‐Chung Lin United States
Subhash C. Sinha United States
Paola Burreddu Italy
Rossella Di Stasi Italy
Lucía De Rosa Italy
Tatsuro Irimura Japan
Ralph–Heiko Mattern United States
Xingzhi Tan United States
Ronald W. Berninger United States
Michel Kraemer France
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Citations per field
00.5×3.7×
Ko‐Chung Lin · 1×
Citations per year

Countries citing papers authored by Fred Burkhart

Since Specialization
Citations

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

Fields of papers citing papers by Fred Burkhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Fred Burkhart, 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 Fred Burkhart Line = papers co-authored together Fred Burkhart links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Glycosylated RGD-containing peptides: tracer for tumor targeting and angiogenesis imaging with improved biokinetics.
2001320
2 2001118
3 2000116
4 199783
5 200163
6 199650
7 199824
8 200023
9 199714
10 199814
11 199812
12 20002

About Fred Burkhart

Fred Burkhart is a scholar working on Molecular Biology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Plant Science, having authored 12 papers that have together received 839 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Carbohydrate Chemistry and Synthesis (9 papers), Chemical Synthesis and Analysis (7 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cell Adhesion Molecules Research (1 paper), Synthetic Organic Chemistry Methods (1 paper), Enzyme Catalysis and Immobilization (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Immunology and Allergy (161 citations), Organic Chemistry (466 citations), Radiology, Nuclear Medicine and Imaging (210 citations), Molecular Biology (546 citations) and Biotechnology (37 citations). Fred Burkhart has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Horst Kessler, Simon L. Goodman, Markus Schwaiger, Roland Haubner, Matthias Hoffmann, Shirley Wacowich‐Sgarbi, Zhiyuan Zhang, Chi‐Huey Wong, Horst Kessler and Wolfgang Weber. Their work appears in journals such as Tetrahedron Letters, Angewandte Chemie International Edition, Helvetica Chimica Acta, PubMed and ChemInform.

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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