Mary Makowske

745 total citations
10 papers, 652 citations indexed

About

Mary Makowske is a scholar working on Molecular Biology, Clinical Biochemistry and Biochemistry. According to data from OpenAlex, Mary Makowske has authored 10 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Clinical Biochemistry and 3 papers in Biochemistry. Recurrent topics in Mary Makowske's work include Metabolism and Genetic Disorders (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Mary Makowske is often cited by papers focused on Metabolism and Genetic Disorders (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Mary Makowske collaborates with scholars based in United States and Italy. Mary Makowske's co-authors include O M Rosen, H N Christensen, Roymarie Ballester, Yvon E. Cayre, Richard D. Feinman, Ovidio Bussolati, Valeria Dall’Asta, Morris J. Birnbaum, Halvor N. Christensen and Limin Liu and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Life Sciences.

In The Last Decade

Mary Makowske

10 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Makowske United States 9 401 179 95 77 76 10 652
Hitoshi Akedo Japan 13 423 1.1× 163 0.9× 55 0.6× 104 1.4× 81 1.1× 26 749
June O’Neil United States 17 380 0.9× 71 0.4× 92 1.0× 63 0.8× 58 0.8× 23 768
W C King United States 11 574 1.4× 187 1.0× 43 0.5× 67 0.9× 22 0.3× 14 942
Kozo Ishidate Japan 16 500 1.2× 154 0.9× 26 0.3× 47 0.6× 94 1.2× 29 754
David C. Sogin United States 10 439 1.1× 75 0.4× 40 0.4× 131 1.7× 44 0.6× 12 697
Elena Kolobova United States 10 561 1.4× 167 0.9× 126 1.3× 85 1.1× 69 0.9× 16 725
G. Gaja Italy 13 245 0.6× 48 0.3× 41 0.4× 110 1.4× 72 0.9× 55 561
Benjamin Spindler Switzerland 10 641 1.6× 459 2.6× 65 0.7× 38 0.5× 207 2.7× 11 997
Michael A. Reuben United States 16 681 1.7× 74 0.4× 81 0.9× 60 0.8× 21 0.3× 22 1.2k
Toshiya Tamura Japan 19 559 1.4× 74 0.4× 48 0.5× 57 0.7× 30 0.4× 53 969

Countries citing papers authored by Mary Makowske

Since Specialization
Citations

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

Fields of papers citing papers by Mary Makowske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Makowske

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

All Works

10 of 10 papers shown
1.
Makowske, Mary & Richard D. Feinman. (2005). Nutrition education: a questionnaire for assessment and teaching. Nutrition Journal. 4(1). 2–2. 21 indexed citations
2.
Feinman, Richard D. & Mary Makowske. (2003). Metabolic Syndrome and Low-Carbohydrate Ketogenic Diets in the Medical School Biochemistry Curriculum. Metabolic Syndrome and Related Disorders. 1(3). 189–197. 15 indexed citations
4.
Makowske, Mary & O M Rosen. (1989). Complete Activation of Protein Kinase C by an Antipeptide Antibody Directed against the Pseudosubstrate Prototope. Journal of Biological Chemistry. 264(27). 16155–16159. 74 indexed citations
5.
Makowske, Mary, Roymarie Ballester, Yvon E. Cayre, & O M Rosen. (1988). Immunochemical evidence that three protein kinase C isozymes increase in abundance during HL-60 differentiation induced by dimethyl sulfoxide and retinoic acid.. Journal of Biological Chemistry. 263(7). 3402–3410. 229 indexed citations
6.
Makowske, Mary, Morris J. Birnbaum, Roymarie Ballester, & O M Rosen. (1986). A cDNA encoding protein kinase C identifies two species of mRNA in brain and GH3 cells.. Journal of Biological Chemistry. 261(29). 13389–13392. 52 indexed citations
7.
Christensen, Halvor N. & Mary Makowske. (1983). Recognition chemistry of anionic amino acids for hepatocyte transport and for neurotransmittory action compared. Life Sciences. 33(23). 2255–2267. 20 indexed citations
8.
Makowske, Mary & H N Christensen. (1982). Contrasts in transport systems for anionic amino acids in hepatocytes and a hepatoma cell line HTC.. Journal of Biological Chemistry. 257(10). 5663–5670. 115 indexed citations
9.
Makowske, Mary & H N Christensen. (1982). Hepatic transport system interconverted by protonation from service for neutral to service for anionic amino acids.. Journal of Biological Chemistry. 257(24). 14635–14638. 35 indexed citations
10.
Dall’Asta, Valeria, et al.. (1981). A stereoselective anomaly in dicarboxylic amino acid transport.. Journal of Biological Chemistry. 256(12). 6054–6059. 86 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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