Daniel E. Callahan

452 citations
21 papers · 383 · h-index 10

Impact in

  • Biophysics top 2%
    • Electromagnetic Fields and Biological Effects
  • Physiology top 10%
    • Spaceflight effects on biology
    • Magnetic and Electromagnetic Effects

Papers in

Daniel E. Callahan

19 papers receiving 353 citations

Peers

Daniel E. Callahan
Comparison fields: 5 of 77
  • Biophysics 117
  • Physiology 32
  • Molecular Biology 172
  • Physiology 55
  • Biotechnology 20
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Alexander Barbul Israel
Kerstin Korn Germany
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Alice Wagenknecht-Wiesner United States
S Varga United States
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Citations per year

Countries citing papers authored by Daniel E. Callahan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Callahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993127
2 199166
3 199947
4 199135
5 198913
6 199213
7 200213
8 199713
9 199513
10 199110
11 19969
12
Intracellular Calcium, Calcium Transport, and c-MYC mRNA Induction in Lymphocytes Exposed to 60 HZ Magnetic Fields: The Cell Membrane and the Signal Transduction Pathway
19937
13 19894
14 19874
15
Protein Shedding and ELF Magnetic Fields: Antibody Binding at the CD3 and CD20 Receptor Sites of Human Lymphocytes
19933
16 20012
17 20032
18 20021
19 19911
20
Visual-Servoing Optical Microscopy
20010

About Daniel E. Callahan

Daniel E. Callahan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biophysics, Organic Chemistry and Spectroscopy, having authored 21 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (3 papers), Cell Image Analysis Techniques (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Advanced MRI Techniques and Applications (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Gene expression and cancer classification (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Boron Compounds in Chemistry (2 papers). The work is most often cited by research in Biophysics (117 citations), Physiology (32 citations), Molecular Biology (172 citations), Physiology (55 citations) and Biotechnology (20 citations). Daniel E. Callahan has collaborated with scholars based in United States. Frequent co-authors include Robert P. Liburdy, Paul O. P. Ts’o, Paul Yaswen, Elizabeth E. Dunham, Lou Sing Kan, Tina L. Trapane, Paul S. Miller, Bahram Parvin, Dennis F. Deen and Kathleen A. Bjornstad. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Carcinogenesis, Experimental Cell Research, Cytometry and Biochemistry.

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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