Lawrence Kazak

8.5k citations
53 papers · 5.6k indexed · 5 hit papers · h-index 32
Topics
Adipose Tissue and Metabolism (34 papers)Mitochondrial Function and Pathology (19 papers)Muscle metabolism and nutrition (18 papers)

In The Last Decade

Lawrence Kazak

51 papers receiving 5.6k citations

Hit Papers

A Creatine-Driven Substrate Cycle Enhances Energy Expendi...201420262018202220152018201420182016100200300400500

Peers

Lawrence Kazak
Comparison fields: 5 of 127
  • Physiology 3.6k
  • Molecular Biology 2.4k
  • Epidemiology 1.5k
  • Cell Biology 813
  • Rehabilitation 724
Replace Kyle L. Hoehn with:
Kyle L. Hoehn Australia
Guillaume Adelmant United States
Edward T. Chouchani United States
Rick B. Vega United States
Fernando Goglia Italy
Joost J.F.P. Luiken Netherlands
Joseph T. Brozinick United States
Kosaku Shinoda United States
Étienne Lefai France
Ruth E. Gimeno United States
Lawrence Kazak relative to Kyle L. Hoehn Australia Kyle L. Hoehn's profile →
Citations per field
00.5×
Kyle L. Hoehn · 1×
Citations per year

Countries citing papers authored by Lawrence Kazak

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Kazak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Kazak

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Kazak. A scholar is included among the top collaborators of Lawrence Kazak 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 Lawrence Kazak. Lawrence Kazak 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 0
3 9
4 23
5 9
6 5
7 83
8 15
9 5
10 78
11 106
12 37
13 1
14 171
15
New Advances in Adaptive Thermogenesis: UCP1 and Beyondbreakdown →
549
16 1
17 75
18 51
19 225
20 85

About Lawrence Kazak

Lawrence Kazak is a scholar working on Rehabilitation, Physiology and Cell Biology, having authored 53 papers that have together received 5.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (34 papers), Mitochondrial Function and Pathology (19 papers) and Muscle metabolism and nutrition (18 papers). The work is most often cited by research in Physiology (3.6k citations), Rehabilitation (724 citations) and Biochemistry (427 citations). Lawrence Kazak has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Bruce M. Spiegelman, Edward T. Chouchani, Paul Cohen, Mark P. Jedrychowski, Ian Holt, Aurelio Reyes, Gina Z. Lu, Edward T. Chouchani, Dina Laznik-Bogoslavski and Shingo Kajimura. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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