Stefan Lange

3.0k total citations
128 papers, 2.4k citations indexed

About

Stefan Lange is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Stefan Lange has authored 128 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 18 papers in Surgery. Recurrent topics in Stefan Lange's work include Escherichia coli research studies (15 papers), Neuropeptides and Animal Physiology (10 papers) and Vibrio bacteria research studies (9 papers). Stefan Lange is often cited by papers focused on Escherichia coli research studies (15 papers), Neuropeptides and Animal Physiology (10 papers) and Vibrio bacteria research studies (9 papers). Stefan Lange collaborates with scholars based in Sweden, Italy and United States. Stefan Lange's co-authors include Ivar Lönnroth, Eva Jennische, Jan Holmgren, Ewa Johansson, T Bremell, Per Malmberg, Cécilia Rydèn, Dick Delbro, Håkan Nygren and Ibrahim Kaya and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Stefan Lange

125 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Lange Sweden 27 793 478 408 302 289 128 2.4k
N. L. Simmons United Kingdom 37 2.0k 2.5× 254 0.5× 297 0.7× 345 1.1× 399 1.4× 96 4.1k
Ivar Lönnroth Sweden 27 1.1k 1.4× 459 1.0× 610 1.5× 284 0.9× 219 0.8× 89 2.7k
Matthias Krüll Germany 30 898 1.1× 239 0.5× 713 1.7× 221 0.7× 161 0.6× 65 2.5k
Roger Smith United States 36 1.6k 2.0× 249 0.5× 613 1.5× 254 0.8× 152 0.5× 105 3.7k
Jay R. Thiagarajah United States 32 1.9k 2.4× 207 0.4× 350 0.9× 465 1.5× 141 0.5× 64 3.8k
Mrinalini C. Rao United States 34 1.8k 2.3× 188 0.4× 304 0.7× 555 1.8× 241 0.8× 99 3.8k
Alan J. Husband Australia 29 542 0.7× 166 0.3× 859 2.1× 148 0.5× 110 0.4× 85 2.6k
J F Brown United Kingdom 36 700 0.9× 181 0.4× 762 1.9× 449 1.5× 257 0.9× 73 3.1k
Masaki Takahashi Japan 29 709 0.9× 296 0.6× 263 0.6× 237 0.8× 1.0k 3.6× 131 2.9k
Thea Brabb United States 19 705 0.9× 223 0.5× 762 1.9× 268 0.9× 112 0.4× 36 2.8k

Countries citing papers authored by Stefan Lange

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Lange

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Lange. A scholar is included among the top collaborators of Stefan Lange 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 Stefan Lange. Stefan Lange 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.
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
2.
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
3.
Gustafsson, Anna, Ewa Johansson, Ewa Henckel, et al.. (2023). Antisecretory factor in breastmilk is associated with reduced incidence of sepsis in preterm infants. Pediatric Research. 95(3). 762–769. 2 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, et al.. (2016). Reaction of complement factors and proteasomes in experimental encephalitis. Journal of NeuroVirology. 23(2). 313–318. 3 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.
Strandberg, Joakim, et al.. (2014). The endogenous peptide antisecretory factor promotes tonic GABAergic signaling in CA1 stratum radiatum interneurons. Frontiers in Cellular Neuroscience. 8. 13–13. 7 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.
Jennische, Eva, Tomas Bergström, Maria E. Johansson, et al.. (2008). The peptide AF-16 abolishes sickness and death at experimental encephalitis by reducing increase of intracranial pressure. Brain Research. 1227. 189–197. 30 indexed citations
10.
Eriksson, Anders, et al.. (2008). Five mucosal transcripts of interest in ulcerative colitis identified by quantitative real-time PCR: a prospective study. BMC Gastroenterology. 8(1). 34–34. 21 indexed citations
11.
Zaman, Shakila, et al.. (2007). B 221, a medical food containing antisecretory factor reduces child diarrhoea: a placebo controlled trial. Acta Paediatrica. 96(11). 1655–1659. 19 indexed citations
12.
Wasling, Pontus, et al.. (2005). Antisecretory factor modulates GABAergic transmission in the rat hippocampus. Regulatory Peptides. 129(1-3). 109–118. 17 indexed citations
13.
Svensson, Kristin, et al.. (2004). Induction of anti-secretory factor in human milk may prevent mastitis. Acta Paediatrica. 93(9). 1228–1231. 1 indexed citations
14.
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
15.
Johansson, Ewa, Eva Jennische, Stefan Lange, & Ivar Lönnroth. (1997). Antisecretory factor suppresses intestinal inflammation and hypersecretion. Gut. 41(5). 642–645. 40 indexed citations
16.
Johansson, Ewa, et al.. (1995). Molecular Cloning and Expression of a Pituitary Gland Protein Modulating Intestinal Fluid Secretion. Journal of Biological Chemistry. 270(35). 20615–20620. 87 indexed citations
17.
Lange, Stefan, Dick Delbro, & Eva Jennische. (1994). Evans Blue Permeation of Intestinal Mucosa in the Rat. Scandinavian Journal of Gastroenterology. 29(1). 38–46. 89 indexed citations
18.
Lange, Stefan, et al.. (1993). Plasma Level of Antisecretory Factor (ASF) and its Relation to Post‐Weaning Diarrhoea in Piglets. Journal of Veterinary Medicine Series B. 40(1-10). 113–118. 14 indexed citations
19.
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
20.
Lange, Stefan, Ivar Lönnroth, & Håkan Nygren. (1984). Protection against Experimental Cholera in the Rat. International Archives of Allergy and Immunology. 75(2). 143–148. 13 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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