Mika B. Jekabsons

3.8k citations
38 papers · 3.0k indexed · 1 hit paper · h-index 23
Topics
Mitochondrial Function and Pathology (22 papers)Adipose Tissue and Metabolism (14 papers)Cancer, Hypoxia, and Metabolism (10 papers)
Journals
NatureJournal of Biological ChemistrySHILAP Revista de lepidopterología

In The Last Decade

Mika B. Jekabsons

38 papers receiving 3.0k citations

Hit Papers

Superoxide activates mitochondrial uncoupling proteins200220262010201820022505007501000

Peers

Mika B. Jekabsons
Comparison fields: 5 of 112
  • Molecular Biology 1.9k
  • Physiology 1.6k
  • Cell Biology 425
  • Cellular and Molecular Neuroscience 360
  • Cancer Research 223
Replace Fernando Goglia with:
Fernando Goglia Italy
Janice M. Huss United States
Antonia Lanni Italy
Karim S. Echtay United Kingdom
Adam L. Orr United States
Telma C. Esteves Germany
Enrique Cadenas United States
Sibylle Jäger France
Lee G.D. Fryer United Kingdom
Casey L. Quinlan United States
Mika B. Jekabsons relative to Fernando Goglia Italy Fernando Goglia's profile →
Citations per field
00.5×1.5×
Fernando Goglia · 1×
Citations per year

Countries citing papers authored by Mika B. Jekabsons

Since Specialization
Citations

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

Fields of papers citing papers by Mika B. Jekabsons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mika B. Jekabsons. 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 Mika B. Jekabsons. The network helps show where Mika B. Jekabsons may publish in the future.

Co-authorship network of co-authors of Mika B. Jekabsons

This figure shows the co-authorship network connecting the top 25 collaborators of Mika B. Jekabsons. A scholar is included among the top collaborators of Mika B. Jekabsons 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 Mika B. Jekabsons. Mika B. Jekabsons 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 18
2 12
3 17
4 12
5 14
6 11
7 2
8 62
9 141
10 119
11 79
12 116
13
Superoxide activates mitochondrial uncoupling proteinsbreakdown →
1148
14 114
15 177
16 27
17 142
18 2
19 92
20 81

About Mika B. Jekabsons

Mika B. Jekabsons is a scholar working on Cancer Research, Toxicology and Biochemistry, having authored 38 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (22 papers), Adipose Tissue and Metabolism (14 papers) and Cancer, Hypoxia, and Metabolism (10 papers). The work is most often cited by research in Physiology (1.6k citations), Aging (63 citations) and Biochemistry (216 citations). Mika B. Jekabsons has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Martin D. Brand, Jeffrey A. Stuart, James A. Harper, David G. Nicholls, Damien Roussel, Susana Cadenas, Karim S. Echtay, John C. Clapham, Julie St‐Pierre and Susan J. Pickering. Their work appears in journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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