Eldad D. Shulman

727 total citations
13 papers, 156 citations indexed

About

Eldad D. Shulman is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Eldad D. Shulman has authored 13 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Eldad D. Shulman's work include Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (3 papers) and Bioinformatics and Genomic Networks (3 papers). Eldad D. Shulman is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (3 papers) and Bioinformatics and Genomic Networks (3 papers). Eldad D. Shulman collaborates with scholars based in Israel, United States and Australia. Eldad D. Shulman's co-authors include Ran Elkon, Eytan Ruppin, Kenneth Aldape, Alejandro A. Schäffer, Uri Ben‐David, Zied Abdullaev, MacLean P. Nasrallah, Eric A. Stone, Yingying Cao and Tiangen Chang and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Eldad D. Shulman

12 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eldad D. Shulman Israel 7 116 46 25 15 14 13 156
Simona Migliozzi Italy 4 45 0.4× 33 0.7× 21 0.8× 14 0.9× 6 0.4× 7 94
Mai Q. Nguyen United States 6 91 0.8× 23 0.5× 38 1.5× 11 0.7× 20 1.4× 6 123
Chih-Jian Lih United States 3 57 0.5× 43 0.9× 33 1.3× 6 0.4× 10 0.7× 5 112
Peter‐Martin Bruch Germany 7 71 0.6× 17 0.4× 24 1.0× 9 0.6× 21 1.5× 15 126
Franziska Singer Switzerland 6 60 0.5× 43 0.9× 21 0.8× 9 0.6× 5 0.4× 10 102
Evan Biederstedt United States 5 95 0.8× 49 1.1× 27 1.1× 4 0.3× 15 1.1× 8 120
Christopher Schlosberg United States 5 81 0.7× 31 0.7× 51 2.0× 13 0.9× 10 0.7× 5 121
A. Modelska Italy 6 248 2.1× 53 1.2× 17 0.7× 8 0.5× 10 0.7× 7 263
X. Steven Chen United States 4 111 1.0× 65 1.4× 86 3.4× 8 0.5× 30 2.1× 8 192

Countries citing papers authored by Eldad D. Shulman

Since Specialization
Citations

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

Fields of papers citing papers by Eldad D. Shulman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eldad D. Shulman. 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 Eldad D. Shulman. The network helps show where Eldad D. Shulman may publish in the future.

Co-authorship network of co-authors of Eldad D. Shulman

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

All Works

13 of 13 papers shown
1.
Shulman, Eldad D., Nishanth Ulhas Nair, Joo Sang Lee, et al.. (2025). Path2Omics Enhances Transcriptomic and Methylation Prediction Accuracy from Tumor Histopathology. Cancer Research. 85(24). 5098–5112.
2.
Shulman, Eldad D., Amos Stemmer, Beibei Ru, et al.. (2025). Abstract 6353: Path2Space: An AI approach for cancer biomarker discovery via histopathology inferred spatial transcriptomics. Cancer Research. 85(8_Supplement_1). 6353–6353. 1 indexed citations
3.
Nair, Nishanth Ulhas, Alejandro A. Schäffer, E. Michael Gertz, et al.. (2024). Chromosome 7 Gain Compensates for Chromosome 10 Loss in Glioma. Cancer Research. 84(20). 3464–3477. 8 indexed citations
4.
Rajagopal, Padma Sheila, Stefano Scalera, Valeria Canu, et al.. (2024). Charting the transcriptomic landscape of primary and metastatic cancers in relation to their origin and target normal tissues. Science Advances. 10(49). eadn0220–eadn0220. 2 indexed citations
5.
Shulman, Eldad D., Rust Turakulov, Zied Abdullaev, et al.. (2024). Prediction of DNA methylation-based tumor types from histopathology in central nervous system tumors with deep learning. Nature Medicine. 30(7). 1952–1961. 20 indexed citations
6.
Chang, Tiangen, Yingying Cao, Eldad D. Shulman, et al.. (2023). Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterations. npj Precision Oncology. 7(1). 54–54. 12 indexed citations
7.
Markovits, Ettai, Erez N. Baruch, Eldad D. Shulman, et al.. (2023). MYC Induces Immunotherapy and IFNγ Resistance Through Downregulation of JAK2. Cancer Immunology Research. 11(7). 909–924. 8 indexed citations
8.
Aharonov, Ranit, Gal Dinstag, Eldad D. Shulman, et al.. (2023). Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptome.. Journal of Clinical Oncology. 41(16_suppl). 1553–1553. 1 indexed citations
9.
Alkan, Ferhat, Shinyeong Ju, Abhijeet Pataskar, et al.. (2022). Alternative cleavage and polyadenylation generates downstream uncapped RNA isoforms with translation potential. Molecular Cell. 82(20). 3840–3855.e8. 15 indexed citations
10.
Aharonov, Ranit, Gal Dinstag, Eldad D. Shulman, et al.. (2022). ENLIGHT: Pancancer response prediction to targeted and immunotherapies via tumor transcriptomics.. Journal of Clinical Oncology. 40(16_suppl). e13556–e13556. 1 indexed citations
11.
Shulman, Eldad D. & Ran Elkon. (2021). Genetic mapping of developmental trajectories for complex traits and diseases. Computational and Structural Biotechnology Journal. 19. 3458–3469. 2 indexed citations
12.
Shulman, Eldad D. & Ran Elkon. (2020). Systematic identification of functional SNPs interrupting 3’UTR polyadenylation signals. PLoS Genetics. 16(8). e1008977–e1008977. 26 indexed citations
13.
Shulman, Eldad D. & Ran Elkon. (2019). Cell-type-specific analysis of alternative polyadenylation using single-cell transcriptomics data. Nucleic Acids Research. 47(19). 10027–10039. 60 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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