Rafael Schulman

1.1k total citations
2 papers, 10 citations indexed

About

Rafael Schulman is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Rafael Schulman has authored 2 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Oncology. Recurrent topics in Rafael Schulman's work include Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genomics and Phylogenetic Studies (1 paper). Rafael Schulman is often cited by papers focused on Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genomics and Phylogenetic Studies (1 paper). Rafael Schulman collaborates with scholars based in United States, Switzerland and Australia. Rafael Schulman's co-authors include Federico Gaiti, Kevin Huang, Dillon Maloney, Dan A. Landau, Sunil Deochand, Asaf Zviran, Steven Kothen-Hill, Nathaniel D. Omans, Nicolas Robine and Martin J. Aryee and has published in prestigious journals such as Blood and International Conference on Learning Representations.

In The Last Decade

Rafael Schulman

2 papers receiving 9 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rafael Schulman United States	2	8	7	2	2	2	2	10
Sunil Deochand United States	1	7 0.9×	6 0.9×	2 1.0×	2 1.0×	2 1.0×	2	9
Qianyun Guo China	3	8 1.0×	6 0.9×	2 1.0×		2 1.0×	4	18
Sergei Yakneen Germany	2	11 1.4×	7 1.0×	3 1.5×	1 0.5×	3 1.5×	2	18
YingXia Xu China	2	6 0.8×	6 0.9×	2 1.0×			2	8
Elias Rodríguez-Fos Germany	2	10 1.3×	13 1.9×		2 1.0×	2 1.0×	3	18
Yiqi Huang Germany	2	11 1.4×	6 0.9×			3 1.5×	5	19
Lauren Overend United Kingdom	2	7 0.9×	5 0.7×			2 1.0×	3	19
Daniel Maunder United Kingdom	2	8 1.0×	6 0.9×				2	9
Sudha Bhushan India	2	9 1.1×	8 1.1×				2	14
Alaa Ashraf Egypt	4	11 1.4×	10 1.4×			3 1.5×	10	28

Countries citing papers authored by Rafael Schulman

Since Specialization

Citations

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

Fields of papers citing papers by Rafael Schulman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Schulman

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

All Works

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2 of 2 papers shown

1.

Kothen-Hill, Steven, Asaf Zviran, Rafael Schulman, et al.. (2018). Deep learning mutation prediction enables early stage lung cancer detection in liquid biopsy. International Conference on Learning Representations. 9 indexed citations

2.

Chaligné, Ronan, Federico Gaiti, Steven Kothen-Hill, et al.. (2017). Single-Cell Joint Methylomics and Transcriptomics Define the Epigenetic Evolution and Lineage Histories of Chronic Lymphocytic Leukemia. Blood. 130. 55–55. 1 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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