Ivan Nasidze

1.9k total citations
23 papers, 1.4k citations indexed

About

Ivan Nasidze is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Ivan Nasidze has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 8 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Ivan Nasidze's work include Forensic and Genetic Research (18 papers), Genetic diversity and population structure (11 papers) and Salivary Gland Disorders and Functions (4 papers). Ivan Nasidze is often cited by papers focused on Forensic and Genetic Research (18 papers), Genetic diversity and population structure (11 papers) and Salivary Gland Disorders and Functions (4 papers). Ivan Nasidze collaborates with scholars based in Germany, Russia and Iran. Ivan Nasidze's co-authors include Mark Stoneking, Dominique Quinque, Jing Li, Kun Tang, Mingkun Li, Manfred Kayser, Ralf Kittler, Tamara Sarkisian, Lutz Roewer and О. В. Жукова and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Current Biology.

In The Last Decade

Ivan Nasidze

23 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
Ivan Nasidze Germany 21 697 532 332 212 175 23 1.4k
Dominique Quinque Germany 14 378 0.5× 429 0.8× 361 1.1× 223 1.1× 108 0.6× 17 1.1k
J.A. Sofaer United Kingdom 19 316 0.5× 537 1.0× 95 0.3× 28 0.1× 291 1.7× 45 1.2k
João Farias Guerreiro Brazil 23 505 0.7× 364 0.7× 16 0.0× 141 0.7× 55 0.3× 121 1.8k
Darlene A. Weston Canada 16 291 0.4× 148 0.3× 26 0.1× 39 0.2× 433 2.5× 24 893
Sarah Gino Italy 16 302 0.4× 261 0.5× 29 0.1× 21 0.1× 102 0.6× 63 737
Maria A. Spyrou Germany 22 597 0.9× 287 0.5× 14 0.0× 22 0.1× 207 1.2× 38 1.4k
Estela Bastos Portugal 19 311 0.4× 244 0.5× 161 0.5× 91 0.4× 4 0.0× 51 1.1k
D Sweet Canada 20 573 0.8× 374 0.7× 44 0.1× 24 0.1× 793 4.5× 42 1.5k
D.C. Thurley New Zealand 17 284 0.4× 146 0.3× 45 0.1× 17 0.1× 75 0.4× 42 1.1k
Pedro Cuesta Spain 14 221 0.3× 148 0.3× 35 0.1× 29 0.1× 70 0.4× 34 848

Countries citing papers authored by Ivan Nasidze

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Nasidze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Nasidze

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Nasidze. A scholar is included among the top collaborators of Ivan Nasidze 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 Ivan Nasidze. Ivan Nasidze 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.
Li, Jing, Ivan Nasidze, Dominique Quinque, et al.. (2013). The saliva microbiome of Pan and Homo. BMC Microbiology. 13(1). 204–204. 36 indexed citations
2.
Nasidze, Ivan, et al.. (2011). High Diversity of the Saliva Microbiome in Batwa Pygmies. PLoS ONE. 6(8). e23352–e23352. 86 indexed citations
3.
Schönberg, Anna, Christoph Theunert, Mingkun Li, Mark Stoneking, & Ivan Nasidze. (2011). High-throughput sequencing of complete human mtDNA genomes from the Caucasus and West Asia: high diversity and demographic inferences. European Journal of Human Genetics. 19(9). 988–994. 58 indexed citations
4.
Nasidze, Ivan, Jing Li, Dominique Quinque, Kun Tang, & Mark Stoneking. (2009). Global diversity in the human salivary microbiome. Genome Research. 19(4). 636–643. 345 indexed citations
5.
Roewer, Lutz, Sascha Willuweit, Mark Stoneking, & Ivan Nasidze. (2009). A Y-STR database of Iranian and Azerbaijanian minority populations. Forensic Science International Genetics. 4(1). e53–e55. 27 indexed citations
6.
Nasidze, Ivan, Dominique Quinque, Jing Li, et al.. (2009). Comparative analysis of human saliva microbiome diversity by barcoded pyrosequencing and cloning approaches. Analytical Biochemistry. 391(1). 64–68. 53 indexed citations
7.
Roewer, Lutz, Sascha Willuweit, Marion Nagy, et al.. (2008). Analysis of Y chromosome STR haplotypes in the European part of Russia reveals high diversities but non-significant genetic distances between populations. International Journal of Legal Medicine. 122(3). 219–223. 47 indexed citations
8.
Nasidze, Ivan, et al.. (2008). mtDNA and Y‐chromosome variation in the Talysh of Iran and Azerbaijan. American Journal of Physical Anthropology. 138(1). 82–89. 11 indexed citations
9.
Balaresque, Patricia, Georgina R. Bowden, Emma J. Parkin, et al.. (2008). Dynamic nature of the proximalAZFcregion of the human Y chromosome: multiple independent deletion and duplication events revealed by microsatellite analysis. Human Mutation. 29(10). 1171–1180. 50 indexed citations
10.
Nasidze, Ivan, et al.. (2008). Close Genetic Relationship Between Semitic‐speaking and Indo‐European‐speaking Groups in Iran. Annals of Human Genetics. 72(2). 241–252. 26 indexed citations
11.
Quinque, Dominique, Oxana Yu. Naumova, Sascha Willuweit, et al.. (2008). Boundaries and clines in the West Eurasian Y‐chromosome landscape: Insights from the European part of Russia. American Journal of Physical Anthropology. 137(1). 41–47. 20 indexed citations
12.
Roewer, Lutz, Sascha Willuweit, Marion Nagy, et al.. (2007). Y-chromosomal STR haplotypes in Kalmyk population samples. Forensic Science International. 173(2-3). 204–209. 25 indexed citations
13.
Nasidze, Ivan, et al.. (2006). The Gagauz, a Linguistic Enclave, are not a Genetic Isolate. Annals of Human Genetics. 71(3). 379–389. 8 indexed citations
14.
Nasidze, Ivan, et al.. (2006). Concomitant Replacement of Language and mtDNA in South Caspian Populations of Iran. Current Biology. 16(7). 668–673. 66 indexed citations
15.
Quinque, Dominique, Ralf Kittler, Manfred Kayser, Mark Stoneking, & Ivan Nasidze. (2006). Evaluation of saliva as a source of human DNA for population and association studies. Analytical Biochemistry. 353(2). 272–277. 146 indexed citations
16.
Nasidze, Ivan, et al.. (2005). Genetic evidence for the Mongolian ancestry of Kalmyks. American Journal of Physical Anthropology. 128(4). 846–854. 44 indexed citations
17.
Nasidze, Ivan, Edmund Y. S. Ling, Dominique Quinque, et al.. (2004). Mitochondrial DNA and Y‐Chromosome Variation in the Caucasus. Annals of Human Genetics. 68(3). 205–221. 110 indexed citations
18.
Nasidze, Ivan, Dominique Quinque, Isabelle Dupanloup, et al.. (2004). Genetic Evidence Concerning the Origins of South and North Ossetians. Annals of Human Genetics. 68(6). 588–599. 24 indexed citations
19.
Nasidze, Ivan, et al.. (2003). Haplotypes from the Caucasus, Turkey and Iran for nine Y-STR loci. Forensic Science International. 137(1). 85–93. 36 indexed citations
20.
Nasidze, Ivan, et al.. (2002). Testing hypotheses of language replacement in the Caucasus: evidence from the Y-chromosome. Human Genetics. 112(3). 255–261. 67 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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