Mark Novotny

6.1k total citations
34 papers, 2.5k citations indexed

About

Mark Novotny is a scholar working on Molecular Biology, Ecology and Cancer Research. According to data from OpenAlex, Mark Novotny has authored 34 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Ecology and 5 papers in Cancer Research. Recurrent topics in Mark Novotny's work include Microbial Community Ecology and Physiology (11 papers), Genomics and Phylogenetic Studies (11 papers) and Single-cell and spatial transcriptomics (6 papers). Mark Novotny is often cited by papers focused on Microbial Community Ecology and Physiology (11 papers), Genomics and Phylogenetic Studies (11 papers) and Single-cell and spatial transcriptomics (6 papers). Mark Novotny collaborates with scholars based in United States, Germany and United Kingdom. Mark Novotny's co-authors include Roger S. Lasken, Joyclyn Yee-Greenbaum, Mary‐Jane Lombardo, Christopher L. Dupont, Fred H. Gage, Shibu Yooseph, Douglas B. Rusch, Thomas Ishoey, J. Craig Venter and Pratap Venepally and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Mark Novotny

33 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Novotny United States 23 1.7k 810 230 210 199 34 2.5k
Dongying Wu China 27 1.5k 0.9× 805 1.0× 94 0.4× 490 2.3× 187 0.9× 63 2.8k
Brian D. Dill United States 25 1.5k 0.9× 331 0.4× 278 1.2× 98 0.5× 115 0.6× 31 2.4k
Jie Xiong China 27 1.5k 0.9× 620 0.8× 225 1.0× 237 1.1× 205 1.0× 90 2.2k
Jens Reeder United States 15 1.5k 0.9× 697 0.9× 154 0.7× 181 0.9× 172 0.9× 22 2.3k
Reijo Käkelä Finland 35 1.3k 0.7× 854 1.1× 223 1.0× 54 0.3× 156 0.8× 140 3.6k
Paul Richardson United States 19 1.5k 0.9× 568 0.7× 164 0.7× 197 0.9× 306 1.5× 27 2.1k
Xiao Chen China 27 1.5k 0.9× 447 0.6× 269 1.2× 130 0.6× 214 1.1× 78 2.1k
Hiroshi Hosoya Japan 35 2.2k 1.3× 249 0.3× 102 0.4× 248 1.2× 125 0.6× 132 3.6k
Marjorie Fournier France 24 1.3k 0.8× 226 0.3× 125 0.5× 203 1.0× 122 0.6× 50 2.3k
Paul M. K. Gordon Canada 25 1.3k 0.8× 414 0.5× 70 0.3× 202 1.0× 294 1.5× 70 2.4k

Countries citing papers authored by Mark Novotny

Since Specialization
Citations

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

Fields of papers citing papers by Mark Novotny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Novotny

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Novotny. A scholar is included among the top collaborators of Mark Novotny 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 Mark Novotny. Mark Novotny 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.
Novotny, Mark, Yuzuru Ninoyu, Eric Y. Du, et al.. (2023). Cochlear transcriptome analysis of an outbred mouse population (CFW). Frontiers in Cellular Neuroscience. 17. 1256619–1256619. 5 indexed citations
2.
Aevermann, Brian D., Yun Zhang, Mark Novotny, et al.. (2021). A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing. Genome Research. 31(10). 1767–1780. 38 indexed citations
3.
Aevermann, Brian D., Casey P. Shannon, Mark Novotny, et al.. (2021). Machine Learning-Based Single Cell and Integrative Analysis Reveals That Baseline mDC Predisposition Correlates With Hepatitis B Vaccine Antibody Response. Frontiers in Immunology. 12. 690470–690470. 10 indexed citations
4.
Aevermann, Brian D., Mark Novotny, Trygve E. Bakken, et al.. (2018). Cell type discovery using single-cell transcriptomics: implications for ontological representation. Human Molecular Genetics. 27(R1). R40–R47. 33 indexed citations
5.
Brown, David, Alison M. Hixon, Lauren M. Oldfield, et al.. (2018). Contemporary Circulating Enterovirus D68 Strains Have Acquired the Capacity for Viral Entry and Replication in Human Neuronal Cells. mBio. 9(5). 70 indexed citations
6.
Muse, Evan D., Haiying Wang, Paddy Barrett, et al.. (2017). A Whole Blood Molecular Signature for Acute Myocardial Infarction. Scientific Reports. 7(1). 59 indexed citations
7.
Bakken, Trygve E., Lindsay G. Cowell, Brian D. Aevermann, et al.. (2017). Cell type discovery and representation in the era of high-content single cell phenotyping. BMC Bioinformatics. 18(S17). 559–559. 27 indexed citations
8.
Lacar, Benjamin, Sara B. Linker, Baptiste N. Jaeger, et al.. (2016). Nuclear RNA-seq of single neurons reveals molecular signatures of activation. Nature Communications. 7(1). 11022–11022. 278 indexed citations
9.
Erwin, Jennifer A., Apuã C.M. Paquola, Tatjana Singer, et al.. (2016). L1-associated genomic regions are deleted in somatic cells of the healthy human brain. Nature Neuroscience. 19(12). 1583–1591. 124 indexed citations
10.
Grindberg, Rashel V., Joyclyn Yee-Greenbaum, Michael J. McConnell, et al.. (2013). RNA-sequencing from single nuclei. Proceedings of the National Academy of Sciences. 110(49). 19802–19807. 272 indexed citations
11.
Allen, Lisa Zeigler, Thomas Ishoey, Mark Novotny, et al.. (2013). Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'. Journal of Visualized Experiments. e3899–e3899. 1 indexed citations
12.
13.
Tagwerker, Christian, Christopher L. Dupont, Bogumil J. Karas, et al.. (2012). Sequence analysis of a complete 1.66 Mb Prochlorococcus marinus MED4 genome cloned in yeast. Nucleic Acids Research. 40(20). 10375–10383. 41 indexed citations
14.
Suzuki, Yo, Jason Stam, Mark Novotny, et al.. (2012). The Green Monster Process for the Generation of Yeast Strains Carrying Multiple Gene Deletions. Journal of Visualized Experiments. e4072–e4072. 6 indexed citations
15.
Chitsaz, Hamidreza, Joyclyn Yee-Greenbaum, Glenn Tesler, et al.. (2011). Efficient de novo assembly of single-cell bacterial genomes from short-read data sets. Nature Biotechnology. 29(10). 915–921. 165 indexed citations
16.
Eloe, Emiley A., Douglas Fadrosh, Mark Novotny, et al.. (2011). Going Deeper: Metagenome of a Hadopelagic Microbial Community. PLoS ONE. 6(5). e20388–e20388. 77 indexed citations
17.
Allen, Lisa Zeigler, Thomas Ishoey, Mark Novotny, et al.. (2011). Single Virus Genomics: A New Tool for Virus Discovery. PLoS ONE. 6(3). e17722–e17722. 98 indexed citations
18.
Dupont, Christopher L., Douglas B. Rusch, Shibu Yooseph, et al.. (2011). Genomic insights to SAR86, an abundant and uncultivated marine bacterial lineage. The ISME Journal. 6(6). 1186–1199. 401 indexed citations
19.
Ishoey, Thomas, Tanja Woyke, Ramūnas Stepanauskas, Mark Novotny, & Roger S. Lasken. (2008). Genomic sequencing of single microbial cells from environmental samples. Current Opinion in Microbiology. 11(3). 198–204. 108 indexed citations
20.
Schmalzing, Dieter, Alexander Belenky, Mark Novotny, et al.. (2000). Microchip electrophoresis: a method for high-speed SNP detection. Nucleic Acids Research. 28(9). e43–e43. 66 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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