Donald K. Kakuda

976 total citations
16 papers, 835 citations indexed

About

Donald K. Kakuda is a scholar working on Biochemistry, Molecular Biology and Physiology. According to data from OpenAlex, Donald K. Kakuda has authored 16 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biochemistry, 9 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Donald K. Kakuda's work include Amino Acid Enzymes and Metabolism (11 papers), Nitric Oxide and Endothelin Effects (7 papers) and Polyamine Metabolism and Applications (3 papers). Donald K. Kakuda is often cited by papers focused on Amino Acid Enzymes and Metabolism (11 papers), Nitric Oxide and Endothelin Effects (7 papers) and Polyamine Metabolism and Applications (3 papers). Donald K. Kakuda collaborates with scholars based in United States, Australia and United Kingdom. Donald K. Kakuda's co-authors include Carol L. MacLeod, Kim D. Finley, Daniel Markovich, Matthew J. Sweet, David Hume, Miles Wilkinson, Christine A. Kozak, Bruce R. Stevens, Mohan K. Raizada and Michael D. Waters and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Donald K. Kakuda

16 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donald K. Kakuda United States 16 380 374 289 162 121 16 835
James E. Bishop United States 14 146 0.4× 690 1.8× 128 0.4× 78 0.5× 196 1.6× 18 882
Alexander Rotmann Germany 8 226 0.6× 225 0.6× 138 0.5× 53 0.3× 58 0.5× 9 611
George M. VAN WOERKOM Netherlands 13 181 0.5× 669 1.8× 266 0.9× 46 0.3× 215 1.8× 18 1.2k
Gordon Watson United States 20 219 0.6× 860 2.3× 152 0.5× 114 0.7× 45 0.4× 42 1.2k
Julia C. Mackall United States 11 227 0.6× 577 1.5× 372 1.3× 31 0.2× 70 0.6× 14 987
Marc S. Malandro United States 11 216 0.6× 259 0.7× 104 0.4× 21 0.1× 77 0.6× 12 714
Robert P. Sandman United States 13 100 0.3× 838 2.2× 126 0.4× 110 0.7× 75 0.6× 27 1.2k
A. Yapo France 11 156 0.4× 304 0.8× 304 1.1× 188 1.2× 21 0.2× 26 795
Kenneth P. Wheeler United Kingdom 14 129 0.3× 392 1.0× 136 0.5× 17 0.1× 110 0.9× 28 702
Zhengtong Pei United States 17 174 0.5× 643 1.7× 213 0.7× 56 0.3× 168 1.4× 24 944

Countries citing papers authored by Donald K. Kakuda

Since Specialization
Citations

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

Fields of papers citing papers by Donald K. Kakuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald K. Kakuda. 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 Donald K. Kakuda. The network helps show where Donald K. Kakuda may publish in the future.

Co-authorship network of co-authors of Donald K. Kakuda

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

All Works

16 of 16 papers shown
1.
Kakuda, Donald K., Matthew J. Sweet, Carol L. MacLeod, David Hume, & Daniel Markovich. (1999). CAT2-mediated l-arginine transport and nitric oxide production in activated macrophages. Biochemical Journal. 340(2). 549–553. 58 indexed citations
2.
Kakuda, Donald K., et al.. (1999). CAT2-mediated L-arginine transport and nitric oxide production in activated macrophages.. PubMed. 340 ( Pt 2). 549–53. 93 indexed citations
3.
Kakuda, Donald K., Matthew J. Sweet, Carol L. MacLeod, David Hume, & Daniel Markovich. (1999). CAT2-mediated L-arginine transport and nitric oxide production in activated macrophages. Biochemical Journal. 340(2). 549–549. 31 indexed citations
4.
Sweet, Matthew J., Katryn J. Stacey, Donald K. Kakuda, Daniel Markovich, & David Hume. (1998). IFN-γ Primes Macrophage Responses to Bacterial DNA. Journal of Interferon & Cytokine Research. 18(4). 263–271. 75 indexed citations
5.
Kakuda, Donald K., Kim D. Finley, Michio Maruyama, & Carol L. MacLeod. (1998). Stress differentially induces cationic amino acid transporter gene expression. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1414(1-2). 75–84. 40 indexed citations
6.
Stevens, Bruce R., et al.. (1996). Induced Nitric Oxide Synthesis Is Dependent on Induced Alternatively Spliced CAT-2 Encoding L-Arginine Transport in Brain Astrocytes. Journal of Biological Chemistry. 271(39). 24017–24022. 107 indexed citations
7.
MacLeod, Carol L. & Donald K. Kakuda. (1996). Regulation of CAT: Cationic amino acid transporter gene expression. Amino Acids. 11(2). 171–191. 36 indexed citations
8.
Winkle, Lon J. Van, Donald K. Kakuda, & Carol L. MacLeod. (1995). Multiple components of transport are associated with murine cationic amino acid transporter (mCAT) expression in Xenopus oocytes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1233(2). 213–216. 15 indexed citations
9.
Finley, Kim D., Donald K. Kakuda, A Barrieux, et al.. (1995). A mammalian arginine/lysine transporter uses multiple promoters.. Proceedings of the National Academy of Sciences. 92(20). 9378–9382. 41 indexed citations
10.
Christensen, Halvor N., et al.. (1994). Special Transport and Neurological Significance of two Amino Acids in a Configuration Conventionally Designated as D. Journal of Experimental Biology. 196(1). 297–305. 21 indexed citations
11.
Kakuda, Donald K. & Carol L. MacLeod. (1994). Na+-Independent Transport (Uniport) of Amino Acids and Glucose in Mammalian Cells. Journal of Experimental Biology. 196(1). 93–108. 36 indexed citations
12.
MacLeod, Carol L., Kim D. Finley, & Donald K. Kakuda. (1994). y+-type cationic amino acid transport: expression and regulation of the mCAT genes. Journal of Experimental Biology. 196(1). 109–121. 76 indexed citations
13.
Christensen, Halvor N., Lorraine M. Albritton, Donald K. Kakuda, & Carol L. MacLeod. (1994). Gene-Product Designations for Amino Acid Transporters. Journal of Experimental Biology. 196(1). 51–57. 38 indexed citations
14.
Reizer, Jonathan, Aiala Reizer, Milton H. Saier, et al.. (1993). Mammalian integral membrane receptors are homologous to facilitators and antiporters of yeast, fungi, and eubacteria. Protein Science. 2(1). 20–30. 73 indexed citations
15.
MacLeod, Carol L., Kim D. Finley, Donald K. Kakuda, Christine A. Kozak, & Miles Wilkinson. (1990). Activated T cells express a novel gene on chromosome 8 that is closely related to the murine ecotropic retroviral receptor.. Molecular and Cellular Biology. 10(7). 3663–3674. 75 indexed citations
16.
MacLeod, Carol L., Kim D. Finley, Donald K. Kakuda, Christine A. Kozak, & Miles Wilkinson. (1990). Activated T Cells Express a Novel Gene on Chromosome 8 That Is Closely Related to the Murine Ecotropic Retroviral Receptor. Molecular and Cellular Biology. 10(7). 3663–3674. 20 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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