Dane E. Karr

2.5k citations
29 papers · 1.5k · h-index 18

Impact in

    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Antibiotic Resistance in Bacteria

Papers in

    • Mass Spectrometry Techniques and Applications 9
    • Analytical Chemistry and Chromatography 5
    • Fibroblast Growth Factor Research 3

Dane E. Karr

29 papers receiving 1.4k citations

Peers

Dane E. Karr
Comparison fields: 5 of 100
  • Spectroscopy 483
  • Molecular Medicine 110
  • Analytical Chemistry 185
  • Microbiology 111
  • Infectious Diseases 296
Replace H. Vanderhaeghe with:
H. Vanderhaeghe Belgium
E. Grunberg United States
Keiko Tabei United States
Hugo D. Meiring Netherlands
Tôru Ishibashi Japan
Y Osada Japan
Aleš Štrancar Slovenia
Edwin M. Oden United States
Sudhir Sinha India
Ruchi Pandey United States
Dane E. Karr relative to H. Vanderhaeghe Belgium H. Vanderhaeghe's profile →
Citations per field
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H. Vanderhaeghe · 1×
Citations per year

Countries citing papers authored by Dane E. Karr

Since Specialization
Citations

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

Fields of papers citing papers by Dane E. Karr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dane E. Karr. 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 Dane E. Karr. The network helps show where Dane E. Karr may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005357
2 1992170
3 1993150
4 2004127
5 201785
6 201779
7 199576
8 200162
9 198248
10 199648
11 199341
12 202140
13 202138
14 199526
15 198325
16 198122
17 201722
18 198218
19 201715
20 20128

About Dane E. Karr

Dane E. Karr is a scholar working on Spectroscopy, Molecular Biology, Genetics, Analytical Chemistry and Biomedical Engineering, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (9 papers), Analytical chemistry methods development (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Analytical Chemistry and Chromatography (5 papers), Advanced Chemical Sensor Technologies (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Legionella and Acanthamoeba research (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Spectroscopy (483 citations), Molecular Medicine (110 citations), Analytical Chemistry (185 citations), Microbiology (111 citations) and Infectious Diseases (296 citations). Dane E. Karr has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Paul O. Danis, Donald E. Schmidt, Robert Cass, A. Holle, Clifford H. Watson, Franz J. Mayer, Kevin M. Krause, C W Moss, Bret M. Benton and Jeffrey M. Hubbard. Their work appears in journals such as Journal of Clinical Microbiology, Rapid Communications in Mass Spectrometry, Macromolecules, Blood and Annals of the Rheumatic Diseases.

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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