Mikhail M. Pooggin

4.3k total citations
64 papers, 2.8k citations indexed

About

Mikhail M. Pooggin is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Mikhail M. Pooggin has authored 64 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 24 papers in Endocrinology and 23 papers in Molecular Biology. Recurrent topics in Mikhail M. Pooggin's work include Plant Virus Research Studies (59 papers), Plant and Fungal Interactions Research (24 papers) and Chromosomal and Genetic Variations (16 papers). Mikhail M. Pooggin is often cited by papers focused on Plant Virus Research Studies (59 papers), Plant and Fungal Interactions Research (24 papers) and Chromosomal and Genetic Variations (16 papers). Mikhail M. Pooggin collaborates with scholars based in Switzerland, France and United States. Mikhail M. Pooggin's co-authors include Thomas Höhn, Rajendran Rajeswaran, Anna S. Zvereva, Lyubov A. Ryabova, P. V. Shivaprasad, Johannes Fütterer, Todd Blevins, Laurent Farinelli, Frederick Meins and Rashid Akbergenov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Mikhail M. Pooggin

63 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail M. Pooggin Switzerland 31 2.5k 940 834 431 184 64 2.8k
Xianbing Wang China 30 2.7k 1.1× 948 1.0× 686 0.8× 608 1.4× 262 1.4× 79 3.1k
Chenggui Han China 30 2.8k 1.1× 982 1.0× 771 0.9× 570 1.3× 333 1.8× 138 3.2k
Benoît Moury France 40 3.9k 1.6× 847 0.9× 963 1.2× 650 1.5× 197 1.1× 107 4.1k
Shyi‐Dong Yeh Taiwan 32 2.9k 1.2× 1.4k 1.4× 758 0.9× 525 1.2× 494 2.7× 128 3.1k
Rui Lu United States 17 2.3k 0.9× 1.2k 1.3× 479 0.6× 512 1.2× 232 1.3× 25 3.1k
Tomohide Natsuaki Japan 24 1.9k 0.8× 366 0.4× 747 0.9× 297 0.7× 158 0.9× 112 2.0k
György Szittya Hungary 22 3.0k 1.2× 1.5k 1.6× 680 0.8× 353 0.8× 160 0.9× 34 3.4k
R. M. Harding Australia 34 2.7k 1.1× 1.3k 1.4× 529 0.6× 421 1.0× 452 2.5× 112 3.1k
Tibor Csorba Hungary 19 2.2k 0.9× 1.2k 1.3× 747 0.9× 402 0.9× 123 0.7× 27 2.7k
Vitantonio Pantaleo Italy 24 2.3k 0.9× 808 0.9× 840 1.0× 409 0.9× 101 0.5× 47 2.5k

Countries citing papers authored by Mikhail M. Pooggin

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail M. Pooggin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail M. Pooggin. 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 Mikhail M. Pooggin. The network helps show where Mikhail M. Pooggin may publish in the future.

Co-authorship network of co-authors of Mikhail M. Pooggin

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail M. Pooggin. A scholar is included among the top collaborators of Mikhail M. Pooggin 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 Mikhail M. Pooggin. Mikhail M. Pooggin 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.
Séguin, Jonathan, Sébastien Ravel, Rajendran Rajeswaran, et al.. (2024). Endogenous viral elements are targeted by RNA silencing pathways in banana. New Phytologist. 244(4). 1519–1536.
2.
Laboureau, Nathalie, Camille Rustenholz, Quentin Chesnais, et al.. (2024). Deep Sequencing Analysis of Virome Components, Viral Gene Expression and Antiviral RNAi Responses in Myzus persicae Aphids. International Journal of Molecular Sciences. 25(23). 13199–13199. 2 indexed citations
3.
4.
LÝ, NGỌC-SÂM, et al.. (2023). Evidence for Dicot Plants as Alternative Hosts of Banana Bunchy Top Virus and Its Alphasatellites in South-East Asia. Pathogens. 12(11). 1289–1289. 1 indexed citations
5.
Laboureau, Nathalie, et al.. (2023). Cannabis Virome Reconstruction and Antiviral RNAi Characterization through Small RNA Sequencing. Plants. 12(23). 3925–3925. 3 indexed citations
6.
Zhang, Ting, et al.. (2023). A new genus of alphasatellites associated with banana bunchy top virus in Southeast Asia. Virus Evolution. 10(1). vead076–vead076. 2 indexed citations
7.
Huguet‐Tapia, José C., et al.. (2023). Transcriptomic alterations in the sweet orange vasculature correlate with growth repression induced by a variant of citrus tristeza virus. Frontiers in Microbiology. 14. 1162613–1162613. 1 indexed citations
8.
Chesnais, Quentin, Amandine Velt, Camille Rustenholz, et al.. (2022). Transcriptome responses of the aphid vector Myzus persicae are shaped by identities of the host plant and the virus. SHILAP Revista de lepidopterología. 2. 4 indexed citations
9.
10.
Pooggin, Mikhail M., et al.. (2022). Virus Elimination from Naturally Infected Field Cultivars of Potato (Solanum tuberosum) by Transgenic RNA Interference. International Journal of Molecular Sciences. 23(14). 8020–8020. 3 indexed citations
11.
Rajeswaran, Rajendran, Nathalie Laboureau, Serge Galzi, et al.. (2022). A newly emerging alphasatellite affects banana bunchy top virus replication, transcription, siRNA production and transmission by aphids. PLoS Pathogens. 18(4). e1010448–e1010448. 13 indexed citations
12.
13.
Turco, Silvia, Jonathan Séguin, Laurent Farinelli, et al.. (2018). Small RNA-Omics for Virome Reconstruction and Antiviral Defense Characterization in Mixed Infections of Cultivated Solanum Plants. Molecular Plant-Microbe Interactions. 31(7). 707–723. 18 indexed citations
14.
Hu, Quan, Jens Hollunder, Annette Niehl, et al.. (2011). Specific Impact of Tobamovirus Infection on the Arabidopsis Small RNA Profile. PLoS ONE. 6(5). e19549–e19549. 73 indexed citations
15.
Rajeswaran, Rajendran, Sukumaran Sunitha, P. V. Shivaprasad, et al.. (2007). The Mungbean Yellow Mosaic Begomovirus Transcriptional Activator Protein Transactivates the Viral Promoter-Driven Transgene and Causes Toxicity in Transgenic Tobacco Plants. Molecular Plant-Microbe Interactions. 20(12). 1545–1554. 23 indexed citations
16.
Blevins, Todd, Rajendran Rajeswaran, P. V. Shivaprasad, et al.. (2006). Four plant Dicers mediate viral small RNA biogenesis and DNA virus induced silencing. Nucleic Acids Research. 34(21). 6233–6246. 374 indexed citations
17.
Rajeswaran, Rajendran, P. V. Shivaprasad, Rashid Akbergenov, et al.. (2005). Suppression of RNA Silencing by a Geminivirus Nuclear Protein, AC2, Correlates with Transactivation of Host Genes. Journal of Virology. 79(4). 2517–2527. 211 indexed citations
18.
Pooggin, Mikhail M. & Thomas Höhn. (2004). Fighting geminiviruses by RNAi and vice versa. Plant Molecular Biology. 55(2). 149–152. 8 indexed citations
19.
Höhn, T., Johannes Fütterer, David Kirk, et al.. (2001). Shunting is a translation strategy used by plant pararetroviruses (Caulimoviridae). Micron. 32(1). 51–57. 15 indexed citations
20.
Pooggin, Mikhail M. & K. G. Skryabin. (1992). The 5′-untranslated leader sequence of potato virus X RNA enhances the expression of a heterologous gene in vivo. Molecular and General Genetics MGG. 234(2). 329–331. 17 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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