Dale E. Johnson

105 papers receiving 2.7k citations

Peers

Dale E. Johnson
Comparison fields: 5 of 174
  • Structural Biology 381
  • Surfaces, Coatings and Films 708
  • Radiation 423
  • Pharmacology 113
  • Physiology 291
Replace Francisco Guerra with:
Francisco Guerra Spain
Dan Shi United States
Shawn P. Williams United States
Fei Sun China
Wolfgang Werner Austria
Stephen P. Muench United Kingdom
Stephen Rothman United States
Ulrich Hahn Germany
Shinichi Ohno Japan
Anil K. Mandal India
Dale E. Johnson relative to Francisco Guerra Spain Francisco Guerra's profile →
Citations per field
00.5×8.8×
Francisco Guerra · 1×
Citations per year

Countries citing papers authored by Dale E. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Dale E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975269
2
Isolation of liver or kidney mitochondria
1967258
3 1995213
4
Interactions between traditional Chinese medicines and Western therapeutics.
2010171
5 1971121
6 1987121
7 1969119
8 1973118
9 1991103
10 199294
11
Functional consequences of mTOR inhibition.
201080
12 196465
13 199457
14 197750
15 197148
16 197244
17 201542
18 201540
19 201838
20 198537

About Dale E. Johnson

Dale E. Johnson is a scholar working on Surfaces, Coatings and Films, Molecular Biology, Radiation, Structural Biology and Atomic and Molecular Physics, and Optics, having authored 112 papers that have together received 2.9k indexed citations. Recurring topics across this work include Electron and X-Ray Spectroscopy Techniques (32 papers), Advanced Electron Microscopy Techniques and Applications (19 papers), X-ray Spectroscopy and Fluorescence Analysis (18 papers), Computational Drug Discovery Methods (11 papers), Salivary Gland Disorders and Functions (9 papers), Biosimilars and Bioanalytical Methods (6 papers), Surface and Thin Film Phenomena (5 papers) and Neonatal Respiratory Health Research (5 papers). The work is most often cited by research in Structural Biology (381 citations), Surfaces, Coatings and Films (708 citations), Radiation (423 citations), Pharmacology (113 citations) and Physiology (291 citations). Dale E. Johnson has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include M. Isaacson, A. V. Crewe, Sucha Sudarsanam, Peter Goldblatt, James E. Eckenwalder, Albert V. Crewe, Ken‐ichi Izutsu, Marie E. Cantino, Elena T. Chan and Marisela Tan. Their work appears in journals such as Ultramicroscopy, Review of Scientific Instruments, Journal of Dental Research, Drug Discovery Today and Expert Review of Clinical Pharmacology.

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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