Svetlana Gorodin

1.5k total citations
9 papers, 1.3k citations indexed

About

Svetlana Gorodin is a scholar working on Cellular and Molecular Neuroscience, Physiology and Neurology. According to data from OpenAlex, Svetlana Gorodin has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Physiology and 2 papers in Neurology. Recurrent topics in Svetlana Gorodin's work include Cancer, Hypoxia, and Metabolism (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Nuclear Receptors and Signaling (2 papers). Svetlana Gorodin is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Nuclear Receptors and Signaling (2 papers). Svetlana Gorodin collaborates with scholars based in Israel, United States and Russia. Svetlana Gorodin's co-authors include Daniel Offen, Eldad Melamed, Paz Einat, Elena Feinstein, Rami Skaliter, Andrei V. Budanov, Hagar Kalinski, Alexander Faerman, Elena Zelin and Tzipora Shoshani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Svetlana Gorodin

9 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Svetlana Gorodin Israel 7 846 228 224 150 144 9 1.3k
Venugopalan D. Nair United States 22 936 1.1× 331 1.5× 189 0.8× 120 0.8× 190 1.3× 51 1.6k
Heike Naumann Germany 15 800 0.9× 177 0.8× 144 0.6× 145 1.0× 58 0.4× 18 1.3k
Sung‐Su Kim South Korea 15 969 1.1× 201 0.9× 150 0.7× 142 0.9× 86 0.6× 63 1.6k
Michael A. Billett United Kingdom 19 820 1.0× 119 0.5× 137 0.6× 220 1.5× 152 1.1× 37 1.3k
Wei‐Bing Xie China 20 509 0.6× 204 0.9× 134 0.6× 135 0.9× 121 0.8× 41 1.0k
Qidong Hu Singapore 16 1.0k 1.2× 121 0.5× 192 0.9× 96 0.6× 82 0.6× 20 1.7k
Jeremy M. Sivak Canada 20 863 1.0× 126 0.6× 229 1.0× 136 0.9× 96 0.7× 47 1.9k
Setsuko Noda Japan 20 1.1k 1.3× 172 0.8× 185 0.8× 259 1.7× 130 0.9× 36 1.8k
Fujiko Suzuki Japan 24 1.1k 1.3× 154 0.7× 185 0.8× 103 0.7× 268 1.9× 37 1.4k
Federica Valsecchi Netherlands 19 1.1k 1.3× 148 0.6× 128 0.6× 71 0.5× 174 1.2× 22 1.6k

Countries citing papers authored by Svetlana Gorodin

Since Specialization
Citations

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

Fields of papers citing papers by Svetlana Gorodin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svetlana Gorodin

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

All Works

9 of 9 papers shown
1.
Gorodin, Svetlana, et al.. (2013). New Tools in HCV Diagnosis, in Light of the Enhanced Awareness and the New Drugs for Treatment: SMARTube and Stimmunology. The Scientific World JOURNAL. 2013(1). 389780–389780. 2 indexed citations
2.
Shoshani, Tzipora, Alexander Faerman, Igor Mett, et al.. (2002). Identification of a Novel Hypoxia-Inducible Factor 1-Responsive Gene, RTP801 , Involved in Apoptosis. Molecular and Cellular Biology. 22(7). 2283–2293. 479 indexed citations
3.
Budanov, Andrei V., Tzipora Shoshani, Alexander Faerman, et al.. (2002). Identification of a novel stress-responsive gene Hi95 involved in regulation of cell viability. Oncogene. 21(39). 6017–6031. 315 indexed citations
5.
Offen, Daniel, A. Hochman, Svetlana Gorodin, et al.. (1999). Oxidative stress and neuroprotection in Parkinson's disease: implications from studies on dopamine-induced apoptosis.. PubMed. 80. 265–9. 30 indexed citations
6.
Offen, Daniel, Anat Achiron, Lina Wasserman, et al.. (1998). HTLV-1 in mouthwash cells from a TSP/HAM patient and asymptomatic carriers. Archives of Virology. 143(5). 1029–1034. 5 indexed citations
7.
Hochman, Ayala, Svetlana Gorodin, Stanley J. Korsmeyer, et al.. (1998). Enhanced Oxidative Stress and Altered Antioxidants in Brains of Bcl‐2‐Deficient Mice. Journal of Neurochemistry. 71(2). 741–748. 125 indexed citations
8.
Offen, Daniel, Philip M. Beart, Nam Sang Cheung, et al.. (1998). Transgenic mice expressing human Bcl-2 in their neurons are resistant to 6-hydroxydopamine and 1-methyl-4-phenyl-1,2,3,6- tetrahydropyridine neurotoxicity. Proceedings of the National Academy of Sciences. 95(10). 5789–5794. 196 indexed citations
9.
Offen, Daniel, Ilan Ziv, Svetlana Gorodin, et al.. (1995). Dopamine-induced programmed cell death in mouse thymocytes. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1268(2). 171–177. 110 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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