G. Schilling

735 total citations
9 papers, 619 citations indexed

About

G. Schilling is a scholar working on Pharmacology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, G. Schilling has authored 9 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in G. Schilling's work include Pharmacogenetics and Drug Metabolism (5 papers), Alcohol Consumption and Health Effects (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). G. Schilling is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Alcohol Consumption and Health Effects (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). G. Schilling collaborates with scholars based in United States. G. Schilling's co-authors include Alvito P. Alvares, R. Kuntzman, Wayne Levin, Leonard Brand and Lester C. Mark and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Biochemical Pharmacology.

In The Last Decade

G. Schilling

9 papers receiving 569 citations

Peers

G. Schilling

PHARM

MB

ONCOL

BIOCH

CR

J. A. Miller United States

P.J. Creaven United Kingdom

Joanne K. Heidema United States

Theodore A. van der Hoeven United States

E Gravela Italy

Jean‐Paul Leroux France

David A. Haugen United States

Preston H. Grantham United States

Akira Touchi Japan

Philippe L. Gigon United States

J. A. Miller United States

G. Schilling

379 ×0.8

PHARM

352 ×1.6

MB

126 ×0.8

ONCOL

142 ×1.1

BIOCH

164 ×1.9

CR

Citations per year, relative to G. Schilling G. Schilling (= 1×) peers J. A. Miller

Countries citing papers authored by G. Schilling

Since Specialization

Citations

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

Fields of papers citing papers by G. Schilling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Schilling

This figure shows the co-authorship network connecting the top 25 collaborators of G. Schilling. A scholar is included among the top collaborators of G. Schilling 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 G. Schilling. G. Schilling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Alvares, Alvito P., G. Schilling, Wayne Levin, & R. Kuntzman. (1971). INABILITY OF SUBSTRATES TO ALTER THE CARBON MONOXIDE AND ETHYL ISOCYANIDE DIFFERENCE SPECTRA OF MICROSOMAL HEMOPROTEIN. Journal of Pharmacology and Experimental Therapeutics. 176(1). 1–10. 11 indexed citations

2.

Alvares, Alvito P., G. Schilling, & R. Kuntzman. (1971). Alteration in the microsomal hemoprotein and the kinetics of 3,4-benzypyrene hydroxylase induced by 3-methylcholanthrene: Time course study and effects of puromycin. Life Sciences. 10(3). 129–136. 7 indexed citations

3.

Alvares, Alvito P., G. Schilling, & Wayne Levin. (1970). SPECIES DIFFERENCES IN THE INDUCTION OF MICROSOMAL HEMOPROTEINS AND 3,4-BENZPYRENE HYDROXYLASE BY PHENOBARBITAL AND 3-METHYLCHOLANTHRENE. Journal of Pharmacology and Experimental Therapeutics. 175(1). 4–11. 47 indexed citations

4.

Alvares, Alvito P., et al.. (1970). Studies on the hydroxylation of 3,4-benzpyrene by hepatic microsomes. Biochemical Pharmacology. 19(4). 1449–1455. 57 indexed citations

5.

Alvares, Alvito P., G. Schilling, Wayne Levin, et al.. (1969). Cytochromes P‐450 and bs in human liver microsomes. Clinical Pharmacology & Therapeutics. 10(5). 655–659. 49 indexed citations

6.

Alvares, Alvito P., G. Schilling, Wayne Levin, & R. Kuntzman. (1968). Alteration of the microsomal hemoprotein by 3-methylcholanthrene: effects of ethionine and actinomycin D.. PubMed. 163(2). 417–24. 68 indexed citations

7.

Alvares, Alvito P., G. Schilling, & R. Kuntzman. (1968). Differences in the kinetics of benzpyrene hydroxylation by hepatic drug-metabolizing enzymes from phenobarbital and 3-methylcholanthrene-treated rats. Biochemical and Biophysical Research Communications. 30(5). 588–593. 91 indexed citations

8.

Alvares, Alvito P., G. Schilling, Wayne Levin, & R. Kuntzman. (1968). ALTERATION OF THE MICROSOMAL HEMOPROTEIN BY 3-METIIYLCHOLANTHRENE: EFFECTS OF ETHIONINE AND ACTINOMYCIN D. Journal of Pharmacology and Experimental Therapeutics. 163(2). 417–424. 10 indexed citations

9.

Alvares, Alvito P., G. Schilling, Wayne Levin, & R. Kuntzman. (1967). Studies on the induction of CO-binding pigments in liver microsomes by phenobarbital and 3-methylcholanthrene. Biochemical and Biophysical Research Communications. 29(4). 521–526. 279 indexed citations

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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