E. G. Tomich

38 papers receiving 621 citations

Peers

E. G. Tomich
Comparison fields: 5 of 102
  • Pharmaceutical Science 88
  • Pharmacology 73
  • Cellular and Molecular Neuroscience 155
  • Behavioral Neuroscience 17
  • Pharmacology 76
Replace Hisakuni Hashimoto with:
Hisakuni Hashimoto Japan
Gaston Labrecque Canada
M.Maureen Dale United Kingdom
G. Engelhardt Germany
A Zaffaroni United States
Samson Symchowicz United States
A. M. Asatoor United Kingdom
John A. Labudde United States
J. Rosenthaler Japan
Robert F. Mayol United States
E. G. Tomich relative to Hisakuni Hashimoto Japan Hisakuni Hashimoto's profile →
Citations per field
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Hisakuni Hashimoto · 1×
Citations per year

Countries citing papers authored by E. G. Tomich

Since Specialization
Citations

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

Fields of papers citing papers by E. G. Tomich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1957139
2 196287
3 196569
4 195754
5 195949
6 196343
7 195740
8
The effect of griseofulvin particle size on blood levels in man.
196237
9 195636
10 196226
11 195318
12 195416
13 196115
14 195414
15 196214
16 196011
17 196710
18 196410
19 196010
20 19629

About E. G. Tomich

E. G. Tomich is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 795 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Heparin-Induced Thrombocytopenia and Thrombosis (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Glycosylation and Glycoproteins Research (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Phytochemistry and Biological Activities (2 papers). The work is most often cited by research in Pharmaceutical Science (88 citations), Pharmacology (73 citations), Cellular and Molecular Neuroscience (155 citations), Behavioral Neuroscience (17 citations) and Pharmacology (76 citations). E. G. Tomich has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Korean J Child, R. M. Atkinson, C. Bedford, Parkhurst A. Shore, R. Kuntzman, DOROTHY BUSFIELD, A. Pletscher, B.B. Brodie, Bernard B. Brodie and Arvid Carlsson. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Nature, Journal of Endocrinology, Biochemical Pharmacology and The Lancet.

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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