Jan A. Litwin

1.4k total citations
91 papers, 1.1k citations indexed

About

Jan A. Litwin is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Jan A. Litwin has authored 91 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 19 papers in Surgery and 12 papers in Immunology. Recurrent topics in Jan A. Litwin's work include Biomarkers in Disease Mechanisms (6 papers), Parathyroid Disorders and Treatments (6 papers) and Photoreceptor and optogenetics research (5 papers). Jan A. Litwin is often cited by papers focused on Biomarkers in Disease Mechanisms (6 papers), Parathyroid Disorders and Treatments (6 papers) and Photoreceptor and optogenetics research (5 papers). Jan A. Litwin collaborates with scholars based in Poland, Germany and Belgium. Jan A. Litwin's co-authors include A Miodoński, Grzegorz Lis, Ewa Jasek-Gajda, H. Dariush Fahimi, Mariusz Gajda, Małgorzata Jasińska, Alfred Völkl, Takashi Hashimoto, T Cichocki and Grażyna Pyka‐Fościak and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Jan A. Litwin

89 papers receiving 1.0k citations

Peers

Jan A. Litwin
Shu Han China
Anthony Carter Canada
Kanji Yamamoto Japan
Masumi Akita Japan
Eliahu Golomb Israel
Haruhiko Sakamoto Japan
K. Honda Japan
Charlene D. Richardson United States
Chrystelle Cario‐Toumaniantz France
E Chin United States
Shu Han China
Jan A. Litwin
Citations per year, relative to Jan A. Litwin Jan A. Litwin (= 1×) peers Shu Han

Countries citing papers authored by Jan A. Litwin

Since Specialization
Citations

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

Fields of papers citing papers by Jan A. Litwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan A. Litwin. 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 Jan A. Litwin. The network helps show where Jan A. Litwin may publish in the future.

Co-authorship network of co-authors of Jan A. Litwin

This figure shows the co-authorship network connecting the top 25 collaborators of Jan A. Litwin. A scholar is included among the top collaborators of Jan A. Litwin 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 Jan A. Litwin. Jan A. Litwin 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.
Pyka‐Fościak, Grażyna, Jan A. Litwin, & Grzegorz Lis. (2023). Osteopontin expression and the effect of anti-VLA-4 mAb treatment in experimental autoimmune encephalomyelitis, a mouse model of multiple sclerosis. Folia Neuropathologica. 61(2). 129–137. 2 indexed citations
2.
Pyka‐Fościak, Grażyna, et al.. (2023). Changes in stiffness of the optic nerve and involvement of neurofilament light chains in the course of experimental autoimmune encephalomyelitis, an animal model of multiple sclerosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1869(7). 166796–166796. 3 indexed citations
3.
Pyka‐Fościak, Grażyna, Grzegorz Lis, & Jan A. Litwin. (2022). Adhesion Molecule Profile and the Effect of Anti-VLA-4 mAb Treatment in Experimental Autoimmune Encephalomyelitis, a Mouse Model of Multiple Sclerosis. International Journal of Molecular Sciences. 23(9). 4637–4637. 10 indexed citations
4.
Pyka‐Fościak, Grażyna, Joanna Zemła, Janusz Lekki, et al.. (2022). Biomechanical changes in the liver tissue induced by a mouse model of multiple sclerosis (EAE) and the effect of anti-VLA-4 mAb treatment. Archives of Biochemistry and Biophysics. 728. 109356–109356. 2 indexed citations
5.
Jasek-Gajda, Ewa, Halina Jurkowska, Małgorzata Jasińska, Jan A. Litwin, & Grzegorz Lis. (2019). Combination of ERK2 inhibitor VX-11e and voreloxin synergistically enhances anti-proliferative and pro-apoptotic effects in leukemia cells. APOPTOSIS. 24(11-12). 849–861. 18 indexed citations
6.
Krzanowski, Marcin, Agata Pietrzycka, Mariusz Gajda, et al.. (2019). Interplay of nitric oxide metabolites and markers of endothelial injury, inflammation, and vascular disease in the spectrum of advanced chronic kidney disease. Kardiologia Polska. 78(1). 51–58. 7 indexed citations
7.
Jasińska, Małgorzata, Ewa Jasek-Gajda, Olga Woźnicka, et al.. (2019). Circadian clock regulates the shape and content of dendritic spines in mouse barrel cortex. PLoS ONE. 14(11). e0225394–e0225394. 10 indexed citations
8.
Krzanowski, Marcin, Mariusz Gajda, Paulina Dumnicka, et al.. (2019). Endothelial injury is closely related to osteopontin and TNF receptor-mediated inflammation in end-stage renal disease. Cytokine. 121. 154729–154729. 11 indexed citations
9.
Janda, Katarzyna, Marcin Krzanowski, Mariusz Gajda, et al.. (2015). Cardiovascular risk in chronic kidney disease patients: intima-media thickness predicts the incidence and severity of histologically assessed medial calcification in radial arteries. BMC Nephrology. 16(1). 78–78. 26 indexed citations
10.
Jasińska, Małgorzata, et al.. (2014). Daily rhythm of synapse turnover in mouse somatosensory cortex. Acta Neurobiologiae Experimentalis. 74(1). 104–110. 14 indexed citations
11.
Lis, Grzegorz, Joanna Czapla–Masztafiak, Wojciech M. Kwiatek, et al.. (2014). Distribution of selected elements in calcific human aortic valves studied by microscopy combined with SR-μXRF: Influence of lipids on progression of calcification. Micron. 67. 141–148. 17 indexed citations
12.
Jasińska, Małgorzata, Ewa Siucińska, Ewa Jasek-Gajda, et al.. (2013). Fear Learning Increases the Number of Polyribosomes Associated with Excitatory and Inhibitory Synapses in the Barrel Cortex. PLoS ONE. 8(2). e54301–e54301. 15 indexed citations
13.
Wojas‐Pelc, Anna, et al.. (2012). Expression of cyclins A and E in melanocytic skin lesions and its correlation with some clinicopathologic features. Folia Histochemica et Cytobiologica. 50(2). 263–269. 1 indexed citations
14.
Lis, Grzegorz, Ewa Jasek-Gajda, Jan A. Litwin, et al.. (2010). Expression of basal cell marker revealed by RAM11 antibody during epithelial regeneration in rabbits.. Folia Histochemica et Cytobiologica. 48(1). 89–92. 3 indexed citations
15.
Wojas‐Pelc, Anna, et al.. (2010). Cyclin D1 and D3 expression in melanocytic skin lesions. Archives of Dermatological Research. 302(7). 545–550. 13 indexed citations
16.
Chłopicki, Stefan, Grzegorz Lis, Łukasz Mateuszuk, et al.. (2008). Triple immunofluorescence labeling of atherosclerotic plaque components in apoE/LDLR -/- mice.. SHILAP Revista de lepidopterología. 2 indexed citations
17.
18.
Gajda, Mariusz, Jan A. Litwin, T Cichocki, Jean‐Pierre Timmermans, & Dirk Adriaensen. (2005). Development of sensory innervation in rat tibia: co‐localization of CGRP and substance P with growth‐associated protein 43 (GAP‐43). Journal of Anatomy. 207(2). 135–144. 42 indexed citations
19.
Miodoński, A, et al.. (1998). Vascular architecture of human urinary bladder carcinoma: a SEM study of corrosion casts. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 433(2). 145–151. 14 indexed citations
20.
Pityński, Kazimierz, et al.. (1996). Vascular architecture of the human fetal adrenal gland: A SEM study of corrosion casts. Annals of Anatomy - Anatomischer Anzeiger. 178(3). 215–222. 9 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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