Michael S. Kilberg

8.4k citations
124 papers · 6.9k indexed · 1 hit paper · h-index 46
Topics
Amino Acid Enzymes and Metabolism (69 papers)Metabolism and Genetic Disorders (41 papers)Drug Transport and Resistance Mechanisms (20 papers)

In The Last Decade

Michael S. Kilberg

124 papers receiving 6.7k citations

Hit Papers

Characteristics of an amino acid transport system in rat ...19802026199520101980100200300

Peers

Michael S. Kilberg
Comparison fields: 5 of 117
  • Molecular Biology 3.7k
  • Biochemistry 2.4k
  • Clinical Biochemistry 1.2k
  • Cell Biology 1.1k
  • Oncology 857
Replace Gian C. Gazzola with:
Gian C. Gazzola Italy
Norman P. Curthoys United States
Ann B. Moser United States
David L. Silver United States
P Freychet France
Pierre Fafournoux France
Myriam Baes Belgium
Stephen D. Cederbaum United States
Michael S. Kilberg United States
Michael S. Kilberg relative to Gian C. Gazzola Italy Gian C. Gazzola's profile →
Citations per field
00.5×5.1×
Gian C. Gazzola · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 3
3 11
4 20
5 15
6 22
7 73
8 7
9 66
10 24
11
Sp1 and Sp3 regulate human asparagine synthetase gene expression
1
12 25
13 59
14 66
15 59
16 23
17 160
18 1
19 2
20
Mammalian amino acid transport: mechanisms and control.
71

About Michael S. Kilberg

Michael S. Kilberg is a scholar working on Biochemistry, Clinical Biochemistry and Cell Biology, having authored 124 papers that have together received 6.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (69 papers), Metabolism and Genetic Disorders (41 papers) and Drug Transport and Resistance Mechanisms (20 papers). The work is most often cited by research in Biochemistry (2.4k citations), Clinical Biochemistry (1.2k citations) and Cell Biology (1.1k citations). Michael S. Kilberg has collaborated with scholars based in United States, France and Estonia. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Annual Review of Biochemistry.

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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