Ivan Iossifov

10.0k total citations · 1 hit paper
33 papers, 2.7k citations indexed

About

Ivan Iossifov is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Ivan Iossifov has authored 33 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 19 papers in Genetics and 11 papers in Cognitive Neuroscience. Recurrent topics in Ivan Iossifov's work include Genomic variations and chromosomal abnormalities (11 papers), Autism Spectrum Disorder Research (11 papers) and Genomics and Rare Diseases (8 papers). Ivan Iossifov is often cited by papers focused on Genomic variations and chromosomal abnormalities (11 papers), Autism Spectrum Disorder Research (11 papers) and Genomics and Rare Diseases (8 papers). Ivan Iossifov collaborates with scholars based in United States, Mexico and Türkiye. Ivan Iossifov's co-authors include Michael Wigler, Michael Ronemus, Dan Levy, Dennis Vitkup, Andrey Rzhetsky, Boris Yamrom, Kenny Ye, Yoonha Lee, Abba Μ. Krieger and Andreas Buja and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Ivan Iossifov

32 papers receiving 2.6k citations

Hit Papers

Rare De Novo and Transmit... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ivan Iossifov 1.4k 1.4k 922 211 173 33 2.7k
Jack A. Kosmicki 1.4k 1.0× 1.3k 0.9× 552 0.6× 215 1.0× 72 0.4× 20 2.9k
Sarah S. Murray 1.5k 1.0× 1.7k 1.2× 309 0.3× 255 1.2× 89 0.5× 45 3.3k
Ryan K. C. Yuen 2.2k 1.5× 1.4k 1.0× 204 0.2× 395 1.9× 298 1.7× 49 3.7k
Jonathan L. Haines 1.6k 1.1× 1.7k 1.2× 1.1k 1.2× 202 1.0× 469 2.7× 66 4.2k
Seungtai Yoon 821 0.6× 1.0k 0.7× 433 0.5× 219 1.0× 67 0.4× 16 1.5k
Joo Heon Shin 1.7k 1.2× 879 0.6× 277 0.3× 216 1.0× 293 1.7× 58 2.6k
Laura Winchester 884 0.6× 602 0.4× 349 0.4× 353 1.7× 65 0.4× 35 2.0k
Stephen R. Williams 1.9k 1.3× 474 0.3× 240 0.3× 280 1.3× 292 1.7× 38 3.3k
Menachem Fromer 1.2k 0.8× 897 0.6× 121 0.1× 201 1.0× 100 0.6× 37 2.1k
Jesse Gillis 2.2k 1.5× 578 0.4× 417 0.5× 180 0.9× 446 2.6× 72 3.1k

Countries citing papers authored by Ivan Iossifov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Iossifov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Iossifov

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Iossifov. A scholar is included among the top collaborators of Ivan Iossifov 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 Iossifov. Ivan Iossifov 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.
Cokol, Murat, Zohar Weinstein, Kevin Shi, et al.. (2025). Analyzing the large and complex SFARI autism cohort data using the Genotypes and Phenotypes in Families (GPF) platform. Genome Research. 35(10). 2352–2362.
2.
Yoon, Seungtai, Peter Andrews, Boris Yamrom, et al.. (2023). Sharing parental genomes by siblings concordant or discordant for autism. Cell Genomics. 3(6). 100319–100319. 3 indexed citations
3.
Yoon, Seungtai, Adriana Muñoz, Boris Yamrom, et al.. (2021). Rates of contributory de novo mutation in high and low-risk autism families. Communications Biology. 4(1). 1026–1026. 19 indexed citations
4.
Subramanyam, Prakash, Rakhi Pal, Sumantra Chattarji, et al.. (2020). N-terminal variant Asp14Asn of the human p70 S6 Kinase 1 enhances translational signaling causing different effects in developing and mature neuronal cells. Neurobiology of Learning and Memory. 171. 107203–107203. 1 indexed citations
5.
Buja, Andreas, Natalia Volfovsky, Abba Μ. Krieger, et al.. (2018). Damaging de novo mutations diminish motor skills in children on the autism spectrum. Proceedings of the National Academy of Sciences. 115(8). E1859–E1866. 44 indexed citations
6.
Castel, Stephane E., Alejandra Cervera, Pejman Mohammadi, et al.. (2018). Modified penetrance of coding variants by cis-regulatory variation contributes to disease risk. Nature Genetics. 50(9). 1327–1334. 119 indexed citations
7.
Fang, Han, Ewa A. Bergmann, Kanika Arora, et al.. (2016). Indel variant analysis of short-read sequencing data with Scalpel. Nature Protocols. 11(12). 2529–2548. 77 indexed citations
8.
O'Rawe, Jason, et al.. (2015). Genome-wide variant analysis of simplex autism families with an integrative clinical-bioinformatics pipeline. Molecular Case Studies. 1(1). a000422–a000422. 6 indexed citations
9.
Cokol, Murat, Zohar Weinstein, Kaan Yılancıoğlu, et al.. (2014). Large-Scale Identification and Analysis of Suppressive Drug Interactions. Chemistry & Biology. 21(4). 541–551. 23 indexed citations
10.
Levy, Dan, Michael Ronemus, Boris Yamrom, et al.. (2011). Rare De Novo and Transmitted Copy-Number Variation in Autistic Spectrum Disorders. Neuron. 70(5). 886–897. 484 indexed citations breakdown →
11.
Parla, Jennifer, et al.. (2011). A comparative analysis of exome capture. Genome biology. 12(9). R97–R97. 85 indexed citations
13.
Liu, Jiang, Murad Ghanim, Lei Xue, et al.. (2009). Analysis of Drosophila Segmentation Network Identifies a JNK Pathway Factor Overexpressed in Kidney Cancer. Science. 323(5918). 1218–1222. 98 indexed citations
14.
Iossifov, Ivan, et al.. (2009). Looking at Cerebellar Malformations through Text-Mined Interactomes of Mice and Humans. PLoS Computational Biology. 5(11). e1000559–e1000559. 13 indexed citations
15.
Iossifov, Ivan, Tian Zheng, Miron Baron, T. Conrad Gilliam, & Andrey Rzhetsky. (2008). Genetic-linkage mapping of complex hereditary disorders to a whole-genome molecular-interaction network. Genome Research. 18(7). 1150–1162. 57 indexed citations
16.
Rzhetsky, Andrey, Ivan Iossifov, Ji Meng Loh, & K White. (2006). Microparadigms: Chains of collective reasoning in publications about molecular interactions. Proceedings of the National Academy of Sciences. 103(13). 4940–4945. 34 indexed citations
17.
Rodriguez‐Esteban, Raul, Ivan Iossifov, & Andrey Rzhetsky. (2006). Imitating Manual Curation of Text-Mined Facts in Biomedicine. PLoS Computational Biology. 2(9). e118–e118. 20 indexed citations
19.
Rzhetsky, Andrey, Ivan Iossifov, Michael Krauthammer, et al.. (2003). GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data. Journal of Biomedical Informatics. 37(1). 43–53. 198 indexed citations
20.
Krauthammer, Michael, Pauline Kra, Ivan Iossifov, et al.. (2002). Of truth and pathways: chasing bits of information through myriads of articles. Bioinformatics. 18(suppl_1). S249–S257. 42 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026