J E Saffitz

486 total citations
9 papers, 422 citations indexed

About

J E Saffitz is a scholar working on Molecular Biology, Cancer Research and Biochemistry. According to data from OpenAlex, J E Saffitz has authored 9 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Biochemistry. Recurrent topics in J E Saffitz's work include Cancer, Hypoxia, and Metabolism (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Blood properties and coagulation (1 paper). J E Saffitz is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Blood properties and coagulation (1 paper). J E Saffitz collaborates with scholars based in United States and Ireland. J E Saffitz's co-authors include Philip W. Majerus, B. Paul Morgan, John Atkinson, Elaine S. Krul, K. L. Polakoski, Gustav Schonfeld, Isabelle Rooney, G G Ahumada, Ellis J. Neufeld and John D. York and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

J E Saffitz

9 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J E Saffitz United States 9 200 78 67 59 50 9 422
Ken‐Ichi Yamamura Japan 9 313 1.6× 146 1.9× 17 0.3× 15 0.3× 41 0.8× 16 483
K Burdzy Canada 8 327 1.6× 216 2.8× 26 0.4× 50 0.8× 53 1.1× 20 733
Edward S. Cole United States 9 283 1.4× 24 0.3× 104 1.6× 17 0.3× 41 0.8× 12 584
H Majima Japan 8 141 0.7× 69 0.9× 20 0.3× 22 0.4× 9 0.2× 26 344
Tom Coffman United States 4 149 0.7× 61 0.8× 25 0.4× 15 0.3× 11 0.2× 6 349
Nobuyuki Akita Japan 13 213 1.1× 47 0.6× 66 1.0× 35 0.6× 6 0.1× 21 403
Yoko Ino Japan 13 282 1.4× 44 0.6× 23 0.3× 22 0.4× 74 1.5× 37 510
Janice M. Kraniak United States 11 222 1.1× 84 1.1× 20 0.3× 14 0.2× 5 0.1× 15 497
Man Jiang China 11 308 1.5× 88 1.1× 19 0.3× 33 0.6× 6 0.1× 27 563
Hong Im Kim United States 10 182 0.9× 62 0.8× 24 0.4× 5 0.1× 31 0.6× 15 376

Countries citing papers authored by J E Saffitz

Since Specialization
Citations

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

Fields of papers citing papers by J E Saffitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J E Saffitz

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

All Works

9 of 9 papers shown
1.
Tsai, Chang-Ru, J E Saffitz, & Joseph J. Billadello. (1997). Expression of the Gs protein alpha-subunit disrupts the normal program of differentiation in cultured murine myogenic cells.. Journal of Clinical Investigation. 99(1). 67–76. 12 indexed citations
2.
Warshawsky, Ilka, Guojun Bu, Alan E. Mast, et al.. (1995). The carboxy terminus of tissue factor pathway inhibitor is required for interacting with hepatoma cells in vitro and in vivo.. Journal of Clinical Investigation. 95(4). 1773–1781. 60 indexed citations
3.
York, John D., J E Saffitz, & Philip W. Majerus. (1994). Inositol polyphosphate 1-phosphatase is present in the nucleus and inhibits DNA synthesis.. Journal of Biological Chemistry. 269(31). 19992–19999. 34 indexed citations
4.
McHowat, Jane, Kathryn A. Yamada, J E Saffitz, & Peter B. Corr. (1993). Subcellular distribution of endogenous long chain acylcarnitines during hypoxia in adult canine myocytes. Cardiovascular Research. 27(7). 1237–1243. 23 indexed citations
5.
Rooney, Isabelle, John Atkinson, Elaine S. Krul, et al.. (1993). Physiologic relevance of the membrane attack complex inhibitory protein CD59 in human seminal plasma: CD59 is present on extracellular organelles (prostasomes), binds cell membranes, and inhibits complement-mediated lysis.. The Journal of Experimental Medicine. 177(5). 1409–1420. 166 indexed citations
6.
Saffitz, J E, et al.. (1987). Selective uptake of [3H]arachidonic acid into the dense tubular system of human platelets. Blood. 70(3). 832–837. 13 indexed citations
7.
Neufeld, Ellis J., et al.. (1985). Uptake and subcellular distribution of [3H]arachidonic acid in murine fibrosarcoma cells measured by electron microscope autoradiography.. The Journal of Cell Biology. 101(2). 573–581. 60 indexed citations
8.
Neufeld, Ellis J., et al.. (1985). Preservation of arachidonoyl phospholipids during tissue processing for electron microscopic autoradiography.. Journal of Histochemistry & Cytochemistry. 33(8). 799–802. 12 indexed citations
9.
Ahumada, G G & J E Saffitz. (1984). Fibronectin in rat heart: a link between cardiac myocytes and collagen.. Journal of Histochemistry & Cytochemistry. 32(4). 383–388. 42 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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