Jan Smida

2.8k total citations
70 papers, 1.8k citations indexed

About

Jan Smida is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jan Smida has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 18 papers in Genetics and 18 papers in Cancer Research. Recurrent topics in Jan Smida's work include Animal Virus Infections Studies (14 papers), Virus-based gene therapy research (11 papers) and Genomics and Phylogenetic Studies (9 papers). Jan Smida is often cited by papers focused on Animal Virus Infections Studies (14 papers), Virus-based gene therapy research (11 papers) and Genomics and Phylogenetic Studies (9 papers). Jan Smida collaborates with scholars based in Germany, Switzerland and United States. Jan Smida's co-authors include Erko Stackebrandt, Matthew Collins, T. Martin Embley, Michaela Nathrath, Daniel Baumhoer, M. Dorsch, Gernot Jundt, Michael J. Atkinson, Horst Zitzelsberger and Eberhard Korsching and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Jan Smida

67 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Smida Germany 27 1.1k 421 271 236 231 70 1.8k
Ainsley Nicholson United States 18 717 0.7× 224 0.5× 29 0.1× 89 0.4× 115 0.5× 37 1.4k
Timothy A. Blauwkamp United States 22 987 0.9× 105 0.2× 37 0.1× 243 1.0× 125 0.5× 34 1.6k
Ronald C. Roberts United States 21 504 0.5× 100 0.2× 325 1.2× 68 0.3× 107 0.5× 56 1.6k
Ying Ge China 29 962 0.9× 107 0.3× 87 0.3× 414 1.8× 317 1.4× 97 2.5k
Gerhard Faller Germany 33 979 0.9× 242 0.6× 353 1.3× 252 1.1× 458 2.0× 78 3.4k
M. Salas Spain 22 874 0.8× 191 0.5× 50 0.2× 509 2.2× 139 0.6× 54 1.4k
Maria Sjölund Sweden 17 872 0.8× 286 0.7× 166 0.6× 219 0.9× 97 0.4× 27 2.2k
Nobuto Yamamoto United States 25 649 0.6× 152 0.4× 242 0.9× 220 0.9× 103 0.4× 75 1.5k
Diane U. Leong United States 10 468 0.4× 79 0.2× 52 0.2× 350 1.5× 151 0.7× 12 2.2k
Howard A. Bladen United States 23 1.2k 1.1× 74 0.2× 59 0.2× 272 1.2× 152 0.7× 31 2.1k

Countries citing papers authored by Jan Smida

Since Specialization
Citations

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

Fields of papers citing papers by Jan Smida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Smida

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Smida. A scholar is included among the top collaborators of Jan Smida 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 Smida. Jan Smida 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.
O’Leary, Valerie B., Saak V. Ovsepian, Jan Smida, & Michael J. Atkinson. (2019). PARTICLE − The RNA podium for genomic silencers. Journal of Cellular Physiology. 234(11). 19464–19470. 12 indexed citations
2.
Azimzadeh, Omid, Tamara V. Azizova, М. Б. Мосеева, et al.. (2018). Integrative multiomics study for validation of mechanisms in radiation-induced ischemic heart disease in Mayak workers. PLoS ONE. 13(12). e0209626–e0209626. 11 indexed citations
3.
O’Leary, Valerie B., Jan Smida, Fabian A. Buske, et al.. (2017). PARTICLE triplexes cluster in the tumor suppressor WWOX and may extend throughout the human genome. Scientific Reports. 7(1). 7163–7163. 28 indexed citations
4.
O’Leary, Valerie B., Jan Smida, Omid Azimzadeh, et al.. (2017). Long non-coding RNA PARTICLE bridges histone and DNA methylation. Scientific Reports. 7(1). 1790–1790. 41 indexed citations
5.
Smida, Jan, et al.. (2015). Genomic Heterogeneity of Osteosarcoma - Shift from Single Candidates to Functional Modules. PLoS ONE. 10(4). e0123082–e0123082. 27 indexed citations
6.
Smida, Jan, et al.. (2013). How MicroRNA and Transcription Factor Co-regulatory Networks Affect Osteosarcoma Cell Proliferation. PLoS Computational Biology. 9(8). e1003210–e1003210. 59 indexed citations
7.
Baumhoer, Daniel, Philippe Brunner, Serenella Eppenberger‐Castori, et al.. (2013). Osteosarcomas of the jaws differ from their peripheral counterparts and require a distinct treatment approach. Experiences from the DOESAK Registry. Oral Oncology. 50(2). 147–153. 47 indexed citations
8.
Smida, Jan, Daniel Baumhoer, Bernard Malfoy, et al.. (2012). Secondary Radiation-Induced Bone Tumours Demonstrate a High Degree of Genomic Instability Predictive of a Poor Prognosis. Current Genomics. 13(6). 433–437. 9 indexed citations
9.
Baumhoer, Daniel, Kristian Unger, Michael Rosemann, et al.. (2012). MicroRNA profiling with correlation to gene expression revealed the oncogenic miR-17-92 cluster to be up-regulated in osteosarcoma. Cancer Genetics. 205(5). 212–219. 52 indexed citations
10.
Baumhoer, Daniel, Jan Smida, Michaela Nathrath, & Gernot Jundt. (2011). The nature of the characteristic cementum-like matrix deposits in the walls of simple bone cysts. Histopathology. 59(3). 390–396. 10 indexed citations
11.
Baumhoer, Daniel, Jan Smida, Michael Rosemann, et al.. (2011). Strong expression of CXCL12 is associated with a favorable outcome in osteosarcoma. Modern Pathology. 25(4). 522–528. 31 indexed citations
12.
Laux, Holger, Michael T. Mader, Jan Smida, et al.. (2004). Tumor-associated E-cadherin mutations do not induce Wnt target gene expression, but affect E-cadherin repressors. Laboratory Investigation. 84(10). 1372–1386. 16 indexed citations
13.
Zitzelsberger, Horst, Jochen Bruch, Jan Smida, et al.. (2001). Clonal chromosomal aberrations in simian virus 40‐transfected human thyroid cells and in derived tumors developed after in vitro irradiation. International Journal of Cancer. 96(3). 166–177. 14 indexed citations
14.
Zitzelsberger, Horst, Ulrike Kulka, Axel Walch, et al.. (1998). Genetic heterogeneity in a prostatic carcinoma and associated prostatic intraepithelial neoplasia as demonstrated by combined use of laser-microdissection, degenerate oligonucleotide primed PCR and comparative genomic hybridization. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 433(4). 297–304. 60 indexed citations
15.
Smida, Jan, Horst Zitzelsberger, Albrecht M. Kellerer, et al.. (1997). p53 mutations in childhood thyroid tumors from Belarus and in theyroid tumors without radiation history. International Journal of Cancer. 73(6). 802–807. 21 indexed citations
16.
Collins, Matthew, S. Wallbanks, D. Lane, et al.. (1991). Phylogenetic Analysis of the Genus Listeria Based on Reverse Transcriptase Sequencing of 16S rRNA. International Journal of Systematic Bacteriology. 41(2). 240–246. 97 indexed citations
17.
Kazda, J., Erko Stackebrandt, Jan Smida, et al.. (1990). Mycobacterium cookii sp. nov.. International Journal of Systematic Bacteriology. 40(3). 217–223. 26 indexed citations
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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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