Michael S. Kilberg

8.4k total citations · 1 hit paper
124 papers, 6.9k citations indexed

About

Michael S. Kilberg is a scholar working on Biochemistry, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Michael S. Kilberg has authored 124 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Biochemistry, 62 papers in Molecular Biology and 42 papers in Clinical Biochemistry. Recurrent topics in Michael S. Kilberg's work include Amino Acid Enzymes and Metabolism (69 papers), Metabolism and Genetic Disorders (41 papers) and Drug Transport and Resistance Mechanisms (20 papers). Michael S. Kilberg is often cited by papers focused on Amino Acid Enzymes and Metabolism (69 papers), Metabolism and Genetic Disorders (41 papers) and Drug Transport and Resistance Mechanisms (20 papers). Michael S. Kilberg collaborates with scholars based in United States, France and Italy. Michael S. Kilberg's co-authors include Mary E. Handlogten, H N Christensen, Jixiu Shan, Nan Su, Marc S. Malandro, Mark A. Shotwell, Dale L. Oxender, Ara M. Aslanian, Yuan‐Xiang Pan and D. Novak and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Annual Review of Biochemistry.

In The Last Decade

Michael S. Kilberg

124 papers receiving 6.7k citations

Hit Papers

Characteristics of an ami... 1980 2026 1995 2010 1980 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Kilberg United States 46 3.7k 2.4k 1.2k 1.1k 857 124 6.9k
Norman P. Curthoys United States 42 3.0k 0.8× 1.6k 0.6× 902 0.8× 396 0.4× 395 0.5× 130 5.5k
Gian C. Gazzola Italy 33 2.0k 0.5× 1.5k 0.6× 803 0.7× 453 0.4× 433 0.5× 83 3.5k
Miriam L. Greenberg United States 44 5.6k 1.5× 1.1k 0.4× 1.1k 0.9× 1.0k 0.9× 194 0.2× 137 7.0k
Ann B. Moser United States 60 10.2k 2.8× 1.3k 0.5× 3.8k 3.2× 480 0.4× 446 0.5× 215 12.3k
Myriam Baes Belgium 44 4.5k 1.2× 522 0.2× 778 0.6× 328 0.3× 641 0.7× 148 6.8k
Stephan Kemp Netherlands 38 6.3k 1.7× 660 0.3× 1.6k 1.3× 237 0.2× 950 1.1× 110 7.5k
J. N. Hawthorne United Kingdom 42 3.5k 1.0× 898 0.4× 608 0.5× 1.3k 1.2× 318 0.4× 138 6.4k
Nicola Longo United States 38 3.4k 0.9× 742 0.3× 3.3k 2.8× 482 0.4× 364 0.4× 197 6.1k
Howard C. Towle United States 51 4.3k 1.2× 835 0.3× 270 0.2× 624 0.6× 524 0.6× 102 7.2k

Countries citing papers authored by Michael S. Kilberg

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Kilberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Kilberg. 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 Michael S. Kilberg. The network helps show where Michael S. Kilberg may publish in the future.

Co-authorship network of co-authors of Michael S. Kilberg

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Kilberg. A scholar is included among the top collaborators of Michael S. Kilberg 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 Michael S. Kilberg. Michael S. Kilberg 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.
Kilberg, Michael S., et al.. (2023). Metabolomic Profiling of Asparagine Deprivation in Asparagine Synthetase Deficiency Patient-Derived Cells. Nutrients. 15(8). 1938–1938. 1 indexed citations
2.
Guerrot, Anne‐Marie, et al.. (2022). Analysis of Enzyme Activity and Cellular Function for the N80S and S480F Asparagine Synthetase Variants Expressed in a Child with Asparagine Synthetase Deficiency. International Journal of Molecular Sciences. 24(1). 559–559. 3 indexed citations
3.
Lü, Li, Tianqi Li, Peike Sheng, et al.. (2021). Sequencing of Argonaute-bound microRNA/mRNA hybrids reveals regulation of the unfolded protein response by microRNA-320a. PLoS Genetics. 17(12). e1009934–e1009934. 11 indexed citations
4.
Farabaugh, Kenneth T., Dawid Krokowski, Bo‐Jhih Guan, et al.. (2020). PACT-mediated PKR activation acts as a hyperosmotic stress intensity sensor weakening osmoadaptation and enhancing inflammation. eLife. 9. 20 indexed citations
5.
Sacharow, Stephanie, Elizabeth E. Dudenhausen, Carrie L. Lomelino, et al.. (2017). Characterization of a novel variant in siblings with Asparagine Synthetase Deficiency. Molecular Genetics and Metabolism. 123(3). 317–325. 22 indexed citations
6.
Su, Nan, Yuan‐Xiang Pan, Mi Zhou, et al.. (2007). Correlation between asparaginase sensitivity and asparagine synthetase protein content, but not mRNA, in acute lymphoblastic leukemia cell lines. Pediatric Blood & Cancer. 50(2). 274–279. 73 indexed citations
8.
Pan, Yuan‐Xiang, Hong Chen, & Michael S. Kilberg. (2005). Interaction of RNA-binding Proteins HuR and AUF1 with the Human ATF3 mRNA 3′-Untranslated Region Regulates Its Amino Acid Limitation-induced Stabilization. Journal of Biological Chemistry. 280(41). 34609–34616. 66 indexed citations
9.
Kilberg, Michael S., et al.. (2002). Sp1 and Sp3 regulate human asparagine synthetase gene expression. The FASEB Journal. 16(4). 262–263. 1 indexed citations
10.
Beveridge, Mark, et al.. (2002). Physiological importance of system A-mediated amino acid transport to rat fetal development. American Journal of Physiology-Cell Physiology. 282(1). C153–C160. 84 indexed citations
12.
13.
Aslanian, Ara M., Bradley S. Fletcher, & Michael S. Kilberg. (2001). Asparagine synthetase expression alone is sufficient to induce l-asparaginase resistance in MOLT-4 human leukaemia cells. Biochemical Journal. 357(1). 321–321. 127 indexed citations
14.
Matthews, J. C., Mark Beveridge, Marc S. Malandro, et al.. (1998). Activity and protein localization of multiple glutamate transporters in gestationday 14vs.day 20rat placenta. American Journal of Physiology-Cell Physiology. 274(3). C603–C614. 59 indexed citations
15.
Malandro, Marc S. & Michael S. Kilberg. (1996). MOLECULAR BIOLOGY OF MAMMALIAN AMINO ACID TRANSPORTERS. Annual Review of Biochemistry. 65(1). 305–336. 160 indexed citations
16.
Shafqat, Saad, Balaji Tamarappoo, Michael S. Kilberg, et al.. (1994). Additions and Corrections. Journal of Biological Chemistry. 269(31). 20208–20208. 1 indexed citations
17.
Tamarappoo, Balaji, et al.. (1994). Protein Modification of Glutamine Transporters in SV40-Transformed Hepatocytes and Immunodetection of Proteins Associated with Hepatic System N Transport Activity. Journal of Nutrition. 124(8 Suppl). 1493S–1498S. 2 indexed citations
18.
Kilberg, Michael S., et al.. (1992). Mammalian amino acid transport: mechanisms and control.. Plenum Press eBooks. 71 indexed citations
19.
Handlogten, Mary E. & Michael S. Kilberg. (1988). Growth-dependent regulation of system A in SV40-transformed fetal rat hepatocytes. American Journal of Physiology-Cell Physiology. 255(3). C261–C270. 30 indexed citations
20.
Kilberg, Michael S., Mary E. Handlogten, & H N Christensen. (1980). Characteristics of an amino acid transport system in rat liver for glutamine, asparagine, histidine, and closely related analogs.. Journal of Biological Chemistry. 255(9). 4011–4019. 370 indexed citations breakdown →

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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