Eva Jennische

5.9k total citations
142 papers, 4.8k citations indexed

About

Eva Jennische is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Eva Jennische has authored 142 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 24 papers in Surgery and 23 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Eva Jennische's work include Growth Hormone and Insulin-like Growth Factors (17 papers), Muscle Physiology and Disorders (15 papers) and Muscle metabolism and nutrition (11 papers). Eva Jennische is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (17 papers), Muscle Physiology and Disorders (15 papers) and Muscle metabolism and nutrition (11 papers). Eva Jennische collaborates with scholars based in Sweden, Italy and United States. Eva Jennische's co-authors include Hans‐Arne Hansson, Stefan Lange, Agneta Holmäng, Anna Skottner, Ivar Lönnroth, Göran Matejka, Per Björntorp, Anne‐Maj Samuelsson, Gunnar Norstedt and Dan Edwall and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Eva Jennische

139 papers receiving 4.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eva Jennische 1.7k 844 840 762 446 142 4.8k
W. Schnedl 1.8k 1.1× 514 0.6× 643 0.8× 693 0.9× 391 0.9× 182 4.6k
Takuya Fujiwara 2.2k 1.3× 821 1.0× 454 0.5× 530 0.7× 765 1.7× 127 4.8k
J. Harold Helderman 606 0.4× 576 0.7× 846 1.0× 982 1.3× 490 1.1× 121 4.1k
Marco Rossato 1.4k 0.8× 740 0.9× 969 1.2× 864 1.1× 679 1.5× 141 5.5k
Mariëtte T. Ackermans 1.1k 0.7× 1.5k 1.7× 1.3k 1.5× 517 0.7× 584 1.3× 162 5.1k
Matti Härkönen 1.3k 0.8× 1.2k 1.4× 914 1.1× 1.5k 2.0× 296 0.7× 188 6.4k
Hiroshi Masuda 1.3k 0.8× 476 0.6× 274 0.3× 978 1.3× 285 0.6× 320 4.9k
Daniel Konrad 1.9k 1.1× 1.6k 1.9× 669 0.8× 678 0.9× 1.4k 3.1× 110 4.9k
Christina Piperi 2.8k 1.7× 979 1.2× 1.0k 1.2× 392 0.5× 699 1.6× 257 8.4k
Hans P. Sauerwein 918 0.5× 2.3k 2.7× 1.2k 1.4× 784 1.0× 1.1k 2.5× 119 6.2k

Countries citing papers authored by Eva Jennische

Since Specialization
Citations

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

Fields of papers citing papers by Eva Jennische

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Jennische

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Jennische. A scholar is included among the top collaborators of Eva Jennische 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 Eva Jennische. Eva Jennische 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
1.
Merseburger, Peter, Caroline Jansson, Jenny Karlsson, et al.. (2025). Spatial transcriptomics exploration of the primary neuroblastoma microenvironment in archived FFPE samples unveils novel paracrine interactions. The Journal of Pathology. 267(2). 181–195. 3 indexed citations
2.
Gatta, Elena, Elena Angeli, A. Cupello, et al.. (2024). Mapping the effect of the antisecretory factor on GABAA receptor α1 and α6 subunits in cerebellar granule cells in vitro. IBRO Neuroscience Reports. 17. 188–195. 1 indexed citations
3.
Lange, Stefan, Eva Jennische, Helena Carén, et al.. (2023). Distinct Cholesterol Localization in Glioblastoma Multiforme Revealed by Mass Spectrometry Imaging. ACS Chemical Neuroscience. 14(9). 1602–1609. 8 indexed citations
4.
Gatta, Elena, Elena Angeli, A. Cupello, et al.. (2022). Involvement of GABA A receptors containing α 6 subtypes in antisecretory factor activity on rat cerebellar granule cells studied by two‐photon uncaging. European Journal of Neuroscience. 56(5). 4505–4513. 2 indexed citations
5.
Lange, Stefan, Ragnar Hultborn, & Eva Jennische. (2020). Antisecretory factor AF‐16 improves vascular access to a rat mammary tumour. Apmis. 128(5). 387–389. 2 indexed citations
6.
Jennische, Eva, et al.. (2015). The anterior commissure is a pathway for contralateral spread of herpes simplex virus type 1 after olfactory tract infection. Journal of NeuroVirology. 21(2). 129–147. 41 indexed citations
7.
Johansson, Ewa, et al.. (2012). Diet-induced antisecretory factor prevents intracranial hypertension in a dosage-dependent manner. British Journal Of Nutrition. 109(12). 2247–2252. 16 indexed citations
8.
Åndersson, Bengt, Kliment Gatzinsky, Ragnar Hultborn, et al.. (2011). The peptide AF-16 decreases high interstitial fluid pressure in solid tumors. Acta Oncologica. 50(7). 1098–1104. 20 indexed citations
9.
Guo, Jian, Margareta Verdrengh, A Tarkowski, et al.. (2009). The rat antigen-presenting lectin-like receptor complex influences innate immunity and development of infectious diseases. Genes and Immunity. 10(3). 227–236. 9 indexed citations
10.
11.
Lange, Stefan, Eva Jennische, Ewa Johansson, & Ivar Lönnroth. (1999). The antisecretory factor: synthesis and intracellular localisation in porcine tissues. Cell and Tissue Research. 296(3). 607–607. 31 indexed citations
12.
Johansson, Ewa, Eva Jennische, Stefan Lange, & Ivar Lönnroth. (1997). Antisecretory factor suppresses intestinal inflammation and hypersecretion. Gut. 41(5). 642–645. 40 indexed citations
13.
Isgaard, Jörgen, Vuk Kujacic, Eva Jennische, et al.. (1997). Growth hormone improves cardiac function in rats with experimental myocardial infarction. European Journal of Clinical Investigation. 27(6). 517–525. 64 indexed citations
14.
Hansson, Göran K., Yong‐Jian Geng, Jan Holm, et al.. (1994). Arterial smooth muscle cells express nitric oxide synthase in response to endothelial injury.. The Journal of Experimental Medicine. 180(2). 733–738. 157 indexed citations
15.
Torres, Javier, Eva Jennische, Stefan Lange, & Ivar Lönnroth. (1991). Clostridium difficile toxin A induces a specific antisecretory factor which protects against intestinal mucosal damage.. Gut. 32(7). 791–795. 18 indexed citations
16.
Torres, Javier, Eva Jennische, Stefan Lange, & Ivar Lönnroth. (1990). Enterotoxins from Clostridium difficile; diarrhoeogenic potency and morphological effects in the rat intestine.. Gut. 31(7). 781–785. 45 indexed citations
17.
Ericson, Lars, et al.. (1990). Ultrastructural localization of IGF-I in the rat kidney; an immunocytochemical study. Histochemistry and Cell Biology. 94(3). 263–7. 7 indexed citations
18.
Jennische, Eva, BJÖRN AMUNDSON, & H. Haljamäe. (1979). Metabolic responses in feline “red” and “white” skeletal muscle to shock and ischemia. Acta Physiologica Scandinavica. 106(1). 39–45. 32 indexed citations
19.
Enger, E, et al.. (1978). Cellular Restitution after 3 h of Complete Tourniquet Ischemia. European Surgical Research. 10(4). 230–239. 22 indexed citations
20.
Jennische, Eva, et al.. (1978). Transmembrane Potential Changes as an Indicator of Cellular Metabolic Deterioration in Skeletal Muscle during Shock. European Surgical Research. 10(2). 125–133. 11 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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