Oded Shaham

1.0k total citations
10 papers, 517 citations indexed

About

Oded Shaham is a scholar working on Epidemiology, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Oded Shaham has authored 10 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Molecular Biology and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Oded Shaham's work include Data-Driven Disease Surveillance (2 papers), Genetic Neurodegenerative Diseases (1 paper) and Artificial Intelligence in Healthcare (1 paper). Oded Shaham is often cited by papers focused on Data-Driven Disease Surveillance (2 papers), Genetic Neurodegenerative Diseases (1 paper) and Artificial Intelligence in Healthcare (1 paper). Oded Shaham collaborates with scholars based in Israel, United States and Australia. Oded Shaham's co-authors include Vamsi K. Mootha, Ravi Thadhani, Thomas J. Wang, Catherine Ricciardi, Robert E. Gerszten, Steven A. Carr, Ramachandran S. Vasan, Ru Wei, Gregory D. Lewis and Nancy G. Slate and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Optics Express and Sensors and Actuators B Chemical.

In The Last Decade

Oded Shaham

9 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oded Shaham Israel	6	312	191	84	54	50	10	517
Yang Ouyang China	15	349 1.1×	120 0.6×	64 0.8×	38 0.7×	21 0.4×	26	594
Marta Riera-Borrull Spain	12	234 0.8×	129 0.7×	143 1.7×	50 0.9×	44 0.9×	17	556
Yoshitomi Kanemitsu Japan	8	277 0.9×	170 0.9×	54 0.6×	41 0.8×	17 0.3×	12	523
Adviye Ayper Tolun United States	14	188 0.6×	172 0.9×	98 1.2×	30 0.6×	67 1.3×	32	623
Naoko Kageyama Japan	11	334 1.1×	139 0.7×	52 0.6×	19 0.4×	44 0.9×	14	543
Gabriela Venturini Brazil	14	219 0.7×	130 0.7×	86 1.0×	52 1.0×	15 0.3×	37	527
Kenneth D’Souza Canada	13	461 1.5×	145 0.8×	89 1.1×	75 1.4×	49 1.0×	24	700
Sophie Neugebauer Germany	13	250 0.8×	65 0.3×	205 2.4×	36 0.7×	47 0.9×	30	552
Claire Cannet Germany	13	342 1.1×	71 0.4×	56 0.7×	49 0.9×	62 1.2×	25	527
Judith Wahrheit Germany	12	427 1.4×	136 0.7×	27 0.3×	22 0.4×	25 0.5×	20	558

Countries citing papers authored by Oded Shaham

Since Specialization

Citations

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

Fields of papers citing papers by Oded Shaham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oded Shaham

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Laifenfeld, Daphna, Chen Yanover, Michal Ozery-Flato, et al.. (2021). Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson’s Disease. Frontiers in Pharmacology. 12. 631584–631584. 12 indexed citations

2.

Ozery-Flato, Michal, et al.. (2020). Framework for identifying drug repurposing candidates from observational healthcare data. JAMIA Open. 3(4). 536–544. 16 indexed citations

3.

Cohen, Keira A., Tal El‐Hay, Kelly L. Wyres, et al.. (2016). Paradoxical Hypersusceptibility of Drug-resistant M ycobacterium tuberculosis to β-lactam Antibiotics. EBioMedicine. 9. 170–179. 35 indexed citations

4.

Goldberg, Daniel W., et al.. (2014). HealthGIS 2013 workshop report: the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health. 6(1). 12–13.

5.

Goldberg, Daniel W., et al.. (2012). Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health. 1 indexed citations

6.

Nazarathy, Moshe & Oded Shaham. (2012). Spatially distributed successive approximation register (SDSAR) photonic ADCs based on phase-domain quantization. Optics Express. 20(7). 7833–7833. 4 indexed citations

7.

Shaham, Oded, Nancy G. Slate, Olga Goldberger, et al.. (2010). A plasma signature of human mitochondrial disease revealed through metabolic profiling of spent media from cultured muscle cells. Proceedings of the National Academy of Sciences. 107(4). 1571–1575. 113 indexed citations

8.

Shaham, Oded, Ru Wei, Thomas J. Wang, et al.. (2008). Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity. Molecular Systems Biology. 4(1). 214–214. 313 indexed citations

9.

Shaham, Oded, Liran Carmel, & David Harel. (2004). On mappings between electronic noses. Sensors and Actuators B Chemical. 106(1). 76–82. 22 indexed citations

10.

Shaham, Oded, et al.. (2001). Rate control for advanced wireless networks. 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.

Explore authors with similar magnitude of impact