Edward J. Gralla

26 papers receiving 1.2k citations

Hit Papers

Carcinogenicity of formaldehyde in rats and mice after lo...19832026199720111983100200300400

Peers

Edward J. Gralla
Comparison fields: 5 of 134
  • Health, Toxicology and Mutagenesis 494
  • Cancer Research 391
  • Molecular Biology 244
  • Biomedical Engineering 126
  • Pulmonary and Respiratory Medicine 96
Replace William Kerns with:
William Kerns United States
Kenneth L. Pavkov United States
Kasuke Nagano Japan
P.M. Hext United Kingdom
Darol E. Dodd United States
Bryan Ballantyne United States
Maria Enrica Fracasso Italy
John J. Clary United States
Henry J. Trochimowicz United States
J.C. Calandra United States
Edward J. Gralla relative to William Kerns United States William Kerns's profile →
Citations per field
00.5×1.5×
William Kerns · 1×
Citations per year

Countries citing papers authored by Edward J. Gralla

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Gralla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward J. Gralla

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Gralla. A scholar is included among the top collaborators of Edward J. Gralla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward J. Gralla. Edward J. Gralla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 34
3 10
4 3
5 3
6 1
7 3
8 0
9
Pharmacology of a new triazine antifolate in mice, rats, dogs, and monkeys.
11
10
Preclinical toxicology studies with ICRF-159 (NSC-129943)--a new antineoplastic drug.
1
11
Toxicology studies with d-tetrandrine (NSC-77037), a plant alkaloid with vascular and lymphotoxic effects in dogs and monkeys.
10
12 7
13 35
14 9
15 14
16 7
17 28
18 59
19 12
20 71

About Edward J. Gralla

Edward J. Gralla is a scholar working on Clinical Biochemistry, Toxicology and Pharmacology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (4 papers), Metabolism and Genetic Disorders (4 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). The work is most often cited by research in Chemical Health and Safety (32 citations), Health, Toxicology and Mutagenesis (494 citations) and Process Chemistry and Technology (88 citations). Edward J. Gralla has collaborated with scholars based in United States. Frequent co-authors include James A. Swenberg, William Kerns, Kenneth L. Pavkov, Yi‐Han Chang, Robert W. Fleischman, Gerald L. Coleman, Daniel R. Snyder, L.F. Rubin, A. M. Jonas and William L. Marcus. Their work appears in journals such as New England Journal of Medicine, Annals of the New York Academy of Sciences and The Journal of Infectious 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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