Adam Spiro

1.9k total citations · 1 hit paper
19 papers, 1.4k citations indexed

About

Adam Spiro is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Adam Spiro has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Genetics. Recurrent topics in Adam Spiro's work include Epigenetics and DNA Methylation (5 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Genomics and Diagnostics (4 papers). Adam Spiro is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Genomics and Diagnostics (4 papers). Adam Spiro collaborates with scholars based in Israel, United States and Germany. Adam Spiro's co-authors include Shigeo Okabe, Ronald D.G. McKay, Menahem Segal, Karin Forsberg‐Nilsson, Oliver Brüstle, Khalad Karram, Yitzhak Reizel, Howard Cedar, Aharon Bar-Hillel and Eran Stark 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

Adam Spiro

18 papers receiving 1.4k citations

Hit Papers

Development of neuronal precursor cells and functional po... 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Spiro Israel 12 1.0k 389 316 164 123 19 1.4k
Daniel J. Hoeppner United States 17 1.8k 1.7× 391 1.0× 236 0.7× 209 1.3× 168 1.4× 25 2.6k
José Javier Otero United States 19 653 0.6× 211 0.5× 138 0.4× 64 0.4× 258 2.1× 82 1.6k
Stefano Pagano Italy 12 686 0.7× 647 1.7× 360 1.1× 56 0.3× 321 2.6× 33 1.4k
Jason E. Long United States 16 997 1.0× 312 0.8× 218 0.7× 230 1.4× 44 0.4× 26 1.4k
Soojung Shin United States 19 1.3k 1.2× 224 0.6× 193 0.6× 171 1.0× 116 0.9× 40 1.6k
Yunhua Zhu China 14 1.2k 1.2× 368 0.9× 137 0.4× 147 0.9× 61 0.5× 23 1.6k
Roberta Azzarelli United Kingdom 19 665 0.6× 207 0.5× 207 0.7× 158 1.0× 102 0.8× 28 1.1k
Omer Ali Bayraktar United States 12 1.2k 1.2× 180 0.5× 300 0.9× 87 0.5× 25 0.2× 19 1.7k
Laurie J. Goodman United States 9 689 0.7× 529 1.4× 817 2.6× 145 0.9× 43 0.3× 21 1.5k
May Tassabehji United Kingdom 21 671 0.6× 508 1.3× 100 0.3× 515 3.1× 66 0.5× 38 1.6k

Countries citing papers authored by Adam Spiro

Since Specialization
Citations

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

Fields of papers citing papers by Adam Spiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Spiro

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

All Works

19 of 19 papers shown
1.
Chorev, Michal, Adam Spiro, Ella Evron, et al.. (2023). Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment. PubMed. 2022. 385–394. 2 indexed citations
2.
Spiro, Adam, Ofra Sabag, Gilad Karavani, et al.. (2019). Determining gestational age using genome methylation profile: A novel approach for fetal medicine. Prenatal Diagnosis. 39(11). 1005–1010. 9 indexed citations
3.
Akselrod-Ballin, Ayelet, Michal Chorev, Yoel Shoshan, et al.. (2019). Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms. Radiology. 292(2). 331–342. 126 indexed citations
4.
Biezuner, Tamir, Adam Spiro, Noa Chapal-Ilani, et al.. (2019). Short tandem repeat stutter model inferred from direct measurement ofin vitrostutter noise. Nucleic Acids Research. 47(5). 2436–2445. 18 indexed citations
5.
6.
Reizel, Yitzhak, Ofra Sabag, Adam Spiro, et al.. (2018). Postnatal DNA demethylation and its role in tissue maturation. Nature Communications. 9(1). 2040–2040. 62 indexed citations
7.
Tovy, Ayala, Adam Spiro, Ryan L. McCarthy, et al.. (2017). p53 is essential for DNA methylation homeostasis in naïve embryonic stem cells, and its loss promotes clonal heterogeneity. Genes & Development. 31(10). 959–972. 45 indexed citations
8.
Biezuner, Tamir, Adam Spiro, Rivka Adar, et al.. (2016). A generic, cost-effective, and scalable cell lineage analysis platform. Genome Research. 26(11). 1588–1599. 28 indexed citations
9.
Spiro, Adam & Ehud Shapiro. (2016). Accuracy of Answers to Cell Lineage Questions Depends on Single-Cell Genomics Data Quality and Quantity. PLoS Computational Biology. 12(6). e1004983–e1004983. 7 indexed citations
10.
Spiro, Adam & Ehud Shapiro. (2016). eSTGt: a programming and simulation environment for population dynamics. BMC Bioinformatics. 17(1). 187–187. 4 indexed citations
11.
Orlanski, Shari, Verena Labi, Yitzhak Reizel, et al.. (2016). Tissue-specific DNA demethylation is required for proper B-cell differentiation and function. Proceedings of the National Academy of Sciences. 113(18). 5018–5023. 79 indexed citations
12.
Reizel, Yitzhak, Adam Spiro, Ofra Sabag, et al.. (2015). Gender-specific postnatal demethylation and establishment of epigenetic memory. Genes & Development. 29(9). 923–933. 72 indexed citations
13.
Spiro, Adam, Luca Cardelli, & Ehud Shapiro. (2014). Lineage grammars: describing, simulating and analyzing population dynamics. BMC Bioinformatics. 15(1). 249–249. 5 indexed citations
14.
Chapal-Ilani, Noa, Yosef E. Maruvka, Adam Spiro, et al.. (2013). Comparing Algorithms That Reconstruct Cell Lineage Trees Utilizing Information on Microsatellite Mutations. PLoS Computational Biology. 9(11). e1003297–e1003297. 12 indexed citations
15.
Shlush, Liran I., Noa Chapal-Ilani, Rivka Adar, et al.. (2012). Cell lineage analysis of acute leukemia relapse uncovers the role of replication-rate heterogeneity and microsatellite instability. Blood. 120(3). 603–612. 52 indexed citations
16.
Bar-Hillel, Aharon, Adam Spiro, & Eran Stark. (2006). Spike sorting: Bayesian clustering of non-stationary data. Journal of Neuroscience Methods. 157(2). 303–316. 51 indexed citations
17.
Bar-Hillel, Aharon, Adam Spiro, & Eran Stark. (2004). Spike Sorting: Bayesian Clustering of Non-Stationary Data. Neural Information Processing Systems. 17. 105–112. 5 indexed citations
18.
Brüstle, Oliver, et al.. (1997). In vitro -generated neural precursors participate in mammalian brain development. Proceedings of the National Academy of Sciences. 94(26). 14809–14814. 250 indexed citations
19.
Okabe, Shigeo, Karin Forsberg‐Nilsson, Adam Spiro, Menahem Segal, & Ronald D.G. McKay. (1996). Development of neuronal precursor cells and functional postmitotic neurons from embryonic stem cells in vitro. Mechanisms of Development. 59(1). 89–102. 607 indexed citations breakdown →

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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