Dan J. Mitchell

29 papers receiving 611 citations

Peers

Dan J. Mitchell
Comparison fields: 5 of 102
  • Spectroscopy 263
  • Microbiology 66
  • Nuclear and High Energy Physics 142
  • Biophysics 39
  • Pathology and Forensic Medicine 96
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K. Hartmann Germany
Stefano Giuntini Italy
Melissa Gildenberg United States
Akira Yamasaki Japan
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Citations per year

Countries citing papers authored by Dan J. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Dan J. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan J. Mitchell. 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 Dan J. Mitchell. The network helps show where Dan J. Mitchell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995144
2 200678
3
Epstein-Barr viral genome in lymph nodes from patients with Hodgkin's disease may not be specific to Reed-Sternberg cells.
199165
4 199554
5 199639
6 199834
7 200232
8 198427
9 201826
10 199820
11
Development and characterization of mouse hyperplastic mammary outgrowth lines from BALB/cfC3H hyperplastic alveolar nodules.
198019
12 199815
13 202211
14
PHYSICAL CHEMISTRY OF THE SOLID STATE
19609
15 19849
16 20218
17 19868
18 20227
19
Mammary tumors in feral mice lacking MuMTV DNA.
19855
20
LA Express Park™ - Curbing Downtown Congestion through Intelligent Parking Management
20124

About Dan J. Mitchell

Dan J. Mitchell is a scholar working on Spectroscopy, Materials Chemistry, Molecular Biology, Oncology and Genetics, having authored 30 papers that have together received 636 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (8 papers), NMR spectroscopy and applications (4 papers), Solid-state spectroscopy and crystallography (4 papers), Animal Genetics and Reproduction (2 papers), Muon and positron interactions and applications (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Spectroscopy (263 citations), Microbiology (66 citations), Nuclear and High Energy Physics (142 citations), Biophysics (39 citations) and Pathology and Forensic Medicine (96 citations). Dan J. Mitchell has collaborated with scholars based in United States, Canada and Bangladesh. Frequent co-authors include Jeremy N. S. Evans, Gary P. Drobny, David Gregory, Suzanne Kiihne, J. C. Shiels, Manish Mehta, John J. Callahan, John A. Stringer, Leslie J. Faulkin and Aneal S. Masih. Their work appears in journals such as Experimental Biology and Medicine, JNCI Journal of the National Cancer Institute, Journal of Magnetic Resonance, Chemical Physics Letters and American Journal of Clinical Pathology.

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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