Warren I. Schaeffer

1.0k total citations
37 papers, 837 citations indexed

About

Warren I. Schaeffer is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Warren I. Schaeffer has authored 37 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Cancer Research. Recurrent topics in Warren I. Schaeffer's work include Carcinogens and Genotoxicity Assessment (5 papers), Milk Quality and Mastitis in Dairy Cows (4 papers) and Mycotoxins in Agriculture and Food (4 papers). Warren I. Schaeffer is often cited by papers focused on Carcinogens and Genotoxicity Assessment (5 papers), Milk Quality and Mastitis in Dairy Cows (4 papers) and Mycotoxins in Agriculture and Food (4 papers). Warren I. Schaeffer collaborates with scholars based in United States, Switzerland and Sweden. Warren I. Schaeffer's co-authors include Nicholas H. Heintz, W. W. Umbreit, I. Politis, Boris Zavizion, Edward Bresnick, Barbara A. Israel, Brian Tierney, Janis Gabliks, Gerald N. Wogan and Leo Friedman and has published in prestigious journals such as Journal of Bacteriology, Annals of the New York Academy of Sciences and Journal of Clinical Microbiology.

In The Last Decade

Warren I. Schaeffer

37 papers receiving 746 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Warren I. Schaeffer United States 18 336 189 125 118 103 37 837
A.A.J.J.L. Rutten Netherlands 15 262 0.8× 145 0.8× 84 0.7× 81 0.7× 35 0.3× 34 843
José M. Sala‐Trepat France 16 791 2.4× 58 0.3× 74 0.6× 81 0.7× 213 2.1× 22 1.2k
Leonard M. Schechtman United States 17 460 1.4× 504 2.7× 109 0.9× 162 1.4× 103 1.0× 39 1.4k
Kunio Konno Japan 15 624 1.9× 74 0.4× 150 1.2× 96 0.8× 120 1.2× 60 1.2k
M. M. Lipsky United States 12 178 0.5× 102 0.5× 85 0.7× 38 0.3× 26 0.3× 17 595
Jan Erik Paulsen Norway 18 734 2.2× 200 1.1× 260 2.1× 42 0.4× 107 1.0× 90 1.3k
I Chouroulinkov France 19 494 1.5× 418 2.2× 172 1.4× 74 0.6× 82 0.8× 92 1.2k
Minh Ngoc Duong France 13 453 1.3× 114 0.6× 226 1.8× 135 1.1× 63 0.6× 17 1.0k
Roman J. Pienta United States 14 409 1.2× 471 2.5× 99 0.8× 140 1.2× 121 1.2× 34 969
Joseph Barycki United States 22 957 2.8× 91 0.5× 78 0.6× 99 0.8× 71 0.7× 36 1.4k

Countries citing papers authored by Warren I. Schaeffer

Since Specialization
Citations

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

Fields of papers citing papers by Warren I. Schaeffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warren I. Schaeffer. 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 Warren I. Schaeffer. The network helps show where Warren I. Schaeffer may publish in the future.

Co-authorship network of co-authors of Warren I. Schaeffer

This figure shows the co-authorship network connecting the top 25 collaborators of Warren I. Schaeffer. A scholar is included among the top collaborators of Warren I. Schaeffer 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 Warren I. Schaeffer. Warren I. Schaeffer 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
1.
Dodson, Michael V. & Warren I. Schaeffer. (2000). Generation of useful cell culture data. Methods in Cell Science. 22(1). 27–28. 2 indexed citations
2.
Schaeffer, Warren I.. (1999). In memorium -- a tribute to Dr. Joseph Leighton. Methods in Cell Science. 21(1). 1–4. 2 indexed citations
3.
Zavizion, Boris, et al.. (1996). Establishment and characterization of a bovine mammary epithelial cell line with unique properties. In Vitro Cellular & Developmental Biology - Animal. 32(3). 138–148. 98 indexed citations
4.
Zavizion, Boris, et al.. (1996). Establishment and characterization of a bovine mammary myoepithelial cell line. In Vitro Cellular & Developmental Biology - Animal. 32(3). 149–158. 19 indexed citations
5.
Schaeffer, Warren I., et al.. (1990). A system employing a minimal defined medium for the selection of tumorigenic cells. In Vitro Cellular & Developmental Biology - Plant. 26(7). 737–740. 5 indexed citations
6.
Israel, Barbara A. & Warren I. Schaeffer. (1988). Cytoplasmic mediation of malignancy. In Vitro Cellular & Developmental Biology - Plant. 24(5). 487–490. 23 indexed citations
7.
Israel, Barbara A. & Warren I. Schaeffer. (1987). Cytoplasmic suppression of malignancy. In Vitro Cellular & Developmental Biology - Plant. 23(9). 627–632. 33 indexed citations
8.
Hines, Ronald N., et al.. (1987). Interaction of the 4 S polycyclic aromatic hydrocarbon-binding protein with the cytochrome P-450c gene. Archives of Biochemistry and Biophysics. 259(1). 215–223. 21 indexed citations
9.
Schaeffer, Warren I.. (1984). Usage of vertebrate, invertebrate and plant cell, tissue and organ culture terminology. In Vitro Cellular & Developmental Biology - Plant. 20(1). 19–24. 44 indexed citations
10.
Schaeffer, Warren I., et al.. (1983). The selection of malignantly transformed rat liver cells using a hormonally defined medium. In Vitro Cellular & Developmental Biology - Plant. 19(2). 108–110. 3 indexed citations
11.
Heintz, Nicholas H., Brian Tierney, Edward Bresnick, & Warren I. Schaeffer. (1981). Correlation of induction of aryl hydrocarbon hydroxylase in cultured rat hepatocytes with saturable high-affinity binding of 3-methylcholanthrene to a 4S cytoplasmic protein.. PubMed. 41(5). 1794–802. 34 indexed citations
12.
Tierney, Brian, et al.. (1980). The identity and nuclear uptake of a cytosolic binding protein for 3-methylcholanthrene. Archives of Biochemistry and Biophysics. 200(2). 513–523. 70 indexed citations
13.
Schaeffer, Warren I.. (1979). Proposed usage of animal tissue culture terms (Revised 1978) Usage of vertebrate cell, tissue and organ culture terminology. In Vitro Cellular & Developmental Biology - Plant. 15(9). 649–653. 28 indexed citations
14.
Schaeffer, Warren I. & Nicholas H. Heintz. (1978). A diploid rat liver cell culture. In Vitro Cellular & Developmental Biology - Plant. 14(5). 418–427. 30 indexed citations
15.
Schaeffer, Warren I.. (1978). Proposed usage of animal tissue culture terms. Methods in Cell Science. 4(1). 779–782. 12 indexed citations
16.
Schaeffer, Warren I., Nancy Smith, Patricia A. Payne, & David M. Wilson. (1975). Physiological and biochemical effects of the mycotoxin patulin on chang liver cell cultures. In Vitro Cellular & Developmental Biology - Plant. 11(2). 69–77. 10 indexed citations
17.
Schaeffer, Warren I., et al.. (1975). A diploid rat liver cell culture. Experimental Cell Research. 95(1). 167–175. 27 indexed citations
18.
Schaeffer, Warren I., et al.. (1974). A diploid rat liver cell culture. In Vitro Cellular & Developmental Biology - Plant. 9(4). 294–301. 6 indexed citations
19.
Forsyth, Ben R., et al.. (1970). Effect of Aflatoxin BI upon Phytohemagglutinin-Transformed Human Lymphocytes. Experimental Biology and Medicine. 134(4). 1112–1115. 25 indexed citations
20.
Gabliks, Janis, Warren I. Schaeffer, Leo Friedman, & Gerald N. Wogan. (1965). Effect of Aflatoxin B1on Cell Cultures. Journal of Bacteriology. 90(3). 720–723. 47 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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