Hege G. Bakke

493 total citations
18 papers, 389 citations indexed

About

Hege G. Bakke is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Hege G. Bakke has authored 18 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Physiology and 5 papers in Cell Biology. Recurrent topics in Hege G. Bakke's work include Adipose Tissue and Metabolism (9 papers), Muscle metabolism and nutrition (5 papers) and T-cell and B-cell Immunology (5 papers). Hege G. Bakke is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Muscle metabolism and nutrition (5 papers) and T-cell and B-cell Immunology (5 papers). Hege G. Bakke collaborates with scholars based in Norway, Sweden and United States. Hege G. Bakke's co-authors include Unni Grimholt, Sissel Kjøglum, Stig Larsen, Morten Lukacs, Marianne Beetz-Sargent, Ben F. Koop, Karsten Skjødt, G. Hege Thoresen, Krzysztof P. Lubieniecki and Ingrid K. Glad and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Lipid Research.

In The Last Decade

Hege G. Bakke

17 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hege G. Bakke Norway	9	242	115	55	39	33	18	389
Takuya Yamaguchi Japan	15	423 1.7×	77 0.7×	25 0.5×	34 0.9×	84 2.5×	31	576
Yahui Wang China	9	106 0.4×	79 0.7×	51 0.9×	25 0.6×	14 0.4×	20	296
Minglin Wu China	10	157 0.6×	108 0.9×	29 0.5×	102 2.6×	69 2.1×	28	312
Kunming Li China	12	170 0.7×	110 1.0×	60 1.1×	45 1.2×	19 0.6×	41	428
Iván Nombela Spain	10	189 0.8×	54 0.5×	12 0.2×	21 0.5×	29 0.9×	18	276
Birkir Þór Bragason Iceland	11	164 0.7×	146 1.3×	39 0.7×	58 1.5×	36 1.1×	19	464
Kakeru Hashimoto Japan	7	287 1.2×	90 0.8×	39 0.7×	6 0.2×	15 0.5×	22	379
Jianping Liang China	10	356 1.5×	176 1.5×	21 0.4×	74 1.9×	45 1.4×	18	598
Chong Han China	13	118 0.5×	128 1.1×	198 3.6×	29 0.7×	109 3.3×	71	463
F.L.V. Pinaffi United States	11	97 0.4×	96 0.8×	136 2.5×	27 0.7×	22 0.7×	23	372

Countries citing papers authored by Hege G. Bakke

Since Specialization

Citations

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

Fields of papers citing papers by Hege G. Bakke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hege G. Bakke. 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 Hege G. Bakke. The network helps show where Hege G. Bakke may publish in the future.

Co-authorship network of co-authors of Hege G. Bakke

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

All Works

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18 of 18 papers shown

Bakke, Hege G., Tuula A. Nyman, Maria Stensland, et al.. (2025). Reduced lipid and glucose oxidation and reduced lipid synthesis in AMPKα2 ^-/- myotubes. Archives of Physiology and Biochemistry. 131(3). 483–492. 1 indexed citations

Katare, Parmeshwar B., Håvard Hamarsland, Stian Ellefsen, et al.. (2024). Krill oil supplementation in vivo promotes increased fuel metabolism and protein synthesis in cultured human skeletal muscle cells. Frontiers in Nutrition. 11. 1452768–1452768.

Aizenshtadt, Aleksandra, Hege G. Bakke, Stefan Krauß, et al.. (2023). Development of three-dimensional primary human myospheres as culture model of skeletal muscle cells for metabolic studies. Frontiers in Bioengineering and Biotechnology. 11. 1130693–1130693. 10 indexed citations

Lund, Jenny, Hege G. Bakke, G. Hege Thoresen, et al.. (2023). Human HDL subclasses modulate energy metabolism in skeletal muscle cells. Journal of Lipid Research. 65(1). 100481–100481. 6 indexed citations

Lund, Jenny, Hege G. Bakke, Tuula A. Nyman, et al.. (2023). SENP2 knockdown in human adipocytes reduces glucose metabolism and lipid accumulation, while increases lipid oxidation. SHILAP Revista de lepidopterología. 18. 100234–100234. 2 indexed citations

Katare, Parmeshwar B., Jenny Lund, Hege G. Bakke, et al.. (2022). Knockdown of sarcolipin (SLN) impairs substrate utilization in human skeletal muscle cells. Molecular Biology Reports. 49(7). 6005–6017. 3 indexed citations

Katare, Parmeshwar B., Håvard Hamarsland, Stian Ellefsen, et al.. (2022). Energy metabolism in skeletal muscle cells from donors with different body mass index. Frontiers in Physiology. 13. 982842–982842. 10 indexed citations

Lund, Jenny, et al.. (2022). Pancreatic Cancer Cell-Conditioned, Human-Derived Primary Myotubes Display Increased Leucine Turnover, Increased Lipid Accumulation, and Reduced Glucose Uptake. Metabolites. 12(11). 1095–1095. 2 indexed citations

Lund, Jenny, Hege G. Bakke, Stefano Bartesaghi, et al.. (2021). SENP2 is vital for optimal insulin signaling and insulin-stimulated glycogen synthesis in human skeletal muscle cells. SHILAP Revista de lepidopterología. 2. 100061–100061. 2 indexed citations

10.

Lund, Jenny, Parmeshwar B. Katare, Hege G. Bakke, et al.. (2021). The small molecule SERCA activator CDN1163 increases energy metabolism in human skeletal muscle cells. SHILAP Revista de lepidopterología. 2. 100060–100060. 16 indexed citations

11.

Bjørndal, Bodil, Hege G. Bakke, Arild C. Rustan, et al.. (2019). A mitochondria-targeted fatty acid analogue influences hepatic glucose metabolism and reduces the plasma insulin/glucose ratio in male Wistar rats. PLoS ONE. 14(9). e0222558–e0222558. 6 indexed citations

12.

Reppe, Sjur, Catherine Joan Jackson, Kim Alexander Tønseth, et al.. (2018). High Throughput Screening of Additives Using Factorial Design to Promote Survival of Stored Cultured Epithelial Sheets. Stem Cells International. 2018. 1–9. 2 indexed citations

13.

Reppe, Sjur, Tonje G. Lien, Yi‐Hsiang Hsu, et al.. (2017). Distinct DNA methylation profiles in bone and blood of osteoporotic and healthy postmenopausal women. Epigenetics. 12(8). 674–687. 55 indexed citations

14.

Bakke, Hege G., et al.. (2012). Antibodies recognizing both IgM isotypes in Atlantic salmon. Fish & Shellfish Immunology. 33(5). 1199–1206. 25 indexed citations

15.

Lukacs, Morten, Hege G. Bakke, Marianne Beetz-Sargent, et al.. (2010). Comprehensive analysis of MHC class I genes from the U-, S-, and Z-lineages in Atlantic salmon. BMC Genomics. 11(1). 154–154. 48 indexed citations

16.

Lukacs, Morten, et al.. (2008). Multiple expressed MHC class II loci in salmonids; details of one non-classical region in Atlantic salmon (Salmo salar). BMC Genomics. 9(1). 193–193. 41 indexed citations

17.

Lukacs, Morten, Unni Grimholt, Marianne Beetz-Sargent, et al.. (2007). Genomic organization of duplicated major histocompatibility complex class I regions in Atlantic salmon (Salmo salar). BMC Genomics. 8(1). 251–251. 57 indexed citations

18.

Kjøglum, Sissel, Stig Larsen, Hege G. Bakke, & Unni Grimholt. (2006). How specific MHC class I and class II combinations affect disease resistance against infectious salmon anaemia in Atlantic salmon (Salmo salar). Fish & Shellfish Immunology. 21(4). 431–441. 103 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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