Annika Mehlem

1.8k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Annika Mehlem is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Annika Mehlem has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Physiology and 4 papers in Cancer Research. Recurrent topics in Annika Mehlem's work include Adipose Tissue and Metabolism (4 papers), Lipid metabolism and disorders (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Annika Mehlem is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Lipid metabolism and disorders (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Annika Mehlem collaborates with scholars based in Sweden, Australia and United States. Annika Mehlem's co-authors include Ulf Eriksson, Annelie Falkevall, Carolina E. Hagberg, Lars Muhl, Andrew D. Nash, Pierre Scotney, Sirpa Leppä, Michael J. Birrer, Päivi J. Miettinen and Veli‐Matti Kähäri and has published in prestigious journals such as Nature, Cell Metabolism and Diabetes.

In The Last Decade

Annika Mehlem

8 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Imaging of neutral lipids by oil red O for analyzing the metabolic status in health and disease

2013 668 citations Annika Mehlem, Carolina E. Hagberg et al. Nature Protocols profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annika Mehlem Sweden	7	603	330	289	192	161	8	1.3k
Chae‐Myeong Ha United States	16	688 1.1×	247 0.7×	195 0.7×	138 0.7×	138 0.9×	20	1.3k
Stefan Lehr Germany	25	780 1.3×	260 0.8×	271 0.9×	212 1.1×	196 1.2×	59	1.6k
Jong‐Gil Park South Korea	19	649 1.1×	205 0.6×	332 1.1×	126 0.7×	137 0.9×	61	1.5k
Yuzhi Jia United States	24	1.2k 2.0×	412 1.2×	329 1.1×	257 1.3×	88 0.5×	47	1.9k
Hideki Ito Japan	23	891 1.5×	413 1.3×	260 0.9×	175 0.9×	134 0.8×	42	1.9k
Ying Du China	22	746 1.2×	321 1.0×	307 1.1×	294 1.5×	75 0.5×	50	1.5k
Annelie Falkevall Sweden	11	1.1k 1.8×	554 1.7×	369 1.3×	267 1.4×	297 1.8×	13	1.9k
Dmitri Samovski United States	16	990 1.6×	498 1.5×	429 1.5×	380 2.0×	221 1.4×	24	1.8k
Merlijn Bazuine Netherlands	17	1.0k 1.7×	375 1.1×	381 1.3×	202 1.1×	99 0.6×	18	1.8k

Countries citing papers authored by Annika Mehlem

Since Specialization

Citations

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

Fields of papers citing papers by Annika Mehlem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Mehlem

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

All Works

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8 of 8 papers shown

1.

Folestad, Erika, Annika Mehlem, Hannes Olauson, et al.. (2024). Vascular endothelial growth factor B-mediated fatty acid flux in the adipose-kidney axis contributes to lipotoxicity in diabetic kidney disease. Kidney International. 107(3). 492–507. 2 indexed citations

2.

Falkevall, Annelie, Annika Mehlem, Erika Folestad, et al.. (2023). Inhibition of VEGF-B signaling prevents non-alcoholic fatty liver disease development by targeting lipolysis in the white adipose tissue. Journal of Hepatology. 78(5). 901–913. 33 indexed citations

3.

Falkevall, Annelie, Annika Mehlem, Lwaki Ebarasi, et al.. (2017). Reducing VEGF-B Signaling Ameliorates Renal Lipotoxicity and Protects against Diabetic Kidney Disease. Cell Metabolism. 25(3). 713–726. 142 indexed citations

4.

Mehlem, Annika, et al.. (2016). PGC-1α Coordinates Mitochondrial Respiratory Capacity and Muscular Fatty Acid Uptake via Regulation of VEGF-B. Diabetes. 65(4). 861–873. 47 indexed citations

5.

Mehlem, Annika, Carolina E. Hagberg, Lars Muhl, Ulf Eriksson, & Annelie Falkevall. (2013). Imaging of neutral lipids by oil red O for analyzing the metabolic status in health and disease. Nature Protocols. 8(6). 1149–1154. 668 indexed citations breakdown →

6.

Hagberg, Carolina E., Annika Mehlem, Annelie Falkevall, Lars Muhl, & Ulf Eriksson. (2013). Endothelial Fatty Acid Transport: Role of Vascular Endothelial Growth Factor B. Physiology. 28(2). 125–134. 58 indexed citations

7.

Hagberg, Carolina E., Annika Mehlem, Annelie Falkevall, et al.. (2012). Targeting VEGF-B as a novel treatment for insulin resistance and type 2 diabetes. Nature. 490(7420). 426–430. 223 indexed citations

8.

Kajanne, Risto, Päivi J. Miettinen, Annika Mehlem, et al.. (2007). EGF‐R regulates MMP function in fibroblasts through MAPK and AP‐1 pathways. Journal of Cellular Physiology. 212(2). 489–497. 145 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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