David F. Egging

1.2k citations
19 papers · 955 · h-index 14

Impact in

    • Monoclonal and Polyclonal Antibodies Research
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • CAR-T cell therapy research
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis

Papers in

David F. Egging

19 papers receiving 891 citations

Peers

David F. Egging
Comparison fields: 5 of 79
  • Radiology, Nuclear Medicine and Imaging 411
  • Oncology 462
  • Immunology and Allergy 97
  • Genetics 150
  • Cell Biology 70
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Peter Haytko United States
HM Lokhorst Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by David F. Egging

Since Specialization
Citations

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

Fields of papers citing papers by David F. Egging

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David F. Egging. 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 David F. Egging. The network helps show where David F. Egging may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2015192
2 2015163
3 2014150
4 200588
5 200653
6 200745
7 201544
8 201841
9 201726
10 201126
11 200525
12 200821
13 201721
14
A clinical and cardiovascular survey of Ehlers-Danlos syndrome patients with complete deficiency of tenascin-X.
200419
15 200713
16 201810
17 20189
18 20176
19 20163

About David F. Egging

David F. Egging is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Genetics, Orthopedics and Sports Medicine and Oncology, having authored 19 papers that have together received 955 indexed citations. Recurring topics across this work include Connective tissue disorders research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cell Adhesion Molecules Research (4 papers), HER2/EGFR in Cancer Research (4 papers), Advanced Biosensing Techniques and Applications (3 papers), Tendon Structure and Treatment (3 papers), Dupuytren's Contracture and Treatments (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (411 citations), Oncology (462 citations), Immunology and Allergy (97 citations), Genetics (150 citations) and Cell Biology (70 citations). David F. Egging has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Joost Schalkwijk, Wim H.A. Dokter, Ruud Ubink, Gijs F. M. Verheijden, Miranda M.C. van der Lee, Jacques M. Lemmens, Patrick H. Beusker, William A. Carey, James D Bristow and A. C. T. M. Peeters. Their work appears in journals such as Molecular Cancer Therapeutics, Cell and Tissue Research, Connective Tissue Research, Bioanalysis and American Journal of Medical Genetics Part C Seminars in Medical Genetics.

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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