Sepideh Babaei

957 total citations
18 papers, 287 citations indexed

About

Sepideh Babaei is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Sepideh Babaei has authored 18 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Immunology. Recurrent topics in Sepideh Babaei's work include Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (3 papers) and Computational Drug Discovery Methods (3 papers). Sepideh Babaei is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (3 papers) and Computational Drug Discovery Methods (3 papers). Sepideh Babaei collaborates with scholars based in Germany, Iran and Netherlands. Sepideh Babaei's co-authors include Jeroen de Ridder, Marcel Reinders, Marc Hulsman, Seyyed Ali Seyyedsalehi, Erdogan Taskesen, Waseem Akhtar, Ahmed Mahfouz, Boudewijn P. F. Lelieveldt, Johann de Jong and Zuzanna Makowska and has published in prestigious journals such as Nature Communications, Expert Systems with Applications and Frontiers in Immunology.

In The Last Decade

Sepideh Babaei

17 papers receiving 274 citations

Peers

Countries citing papers authored by Sepideh Babaei

Since Specialization

Citations

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

Fields of papers citing papers by Sepideh Babaei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sepideh Babaei

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Effects of segmentation errors on downstream-analysis in highly-multiplexed tissue imaging 2025 ·PLoS Computational Biology ·(unknown), Jan Schleicher, (unknown), (unknown), Sepideh Babaei, Manfred Claassen	0
2	High-dimensional in situ proteomics imaging to assess γδ T cells in spatial biology 2024 ·Journal of Leukocyte Biology ·(unknown), (unknown), Sepideh Babaei, (unknown), (unknown), Can Yurttas, Sophia Scheuermann, Christian Seitz, Benjamin Ruf, Alfred Königsrainer, Philipp Jurmeister, Markus Löffler, Manfred Claassen, Kilian Wistuba‐Hamprecht	4
3	Dynamics of Melanoma-Associated Epitope-Specific CD8+ T Cells in the Blood Correlate With Clinical Outcome Under PD-1 Blockade 2022 ·Frontiers in Immunology ·Andrea Gaißler, (unknown), (unknown), Sepideh Babaei, Siri Tvingsholm, (unknown), (unknown), Teresa Amaral, Nikolaus B. Wagner, Reinhild Klein, Friedegund Meier, Claus Garbe, Thomas Eigentler, Graham Pawelec, Manfred Claassen, Benjamin Weide, Sine Reker Hadrup, Kilian Wistuba‐Hamprecht	2
4	Abstract P021: Highly multiplexed spatial analysis of the HCC tumor immune microenvironment using CODEX imaging 2022 ·Cancer Immunology Research ·Benjamin Ruf, Noémi Kedei, (unknown), Sepideh Babaei, (unknown), Simon Wabitsch, Chi Ma, Bernd Heinrich, Varun Subramanyam, (unknown), (unknown), Alexander Kroemer, Manfred Claassen, Tim F. Greten, Firouzeh Korangy	2
5	Expression Quantitative Trait Locus Analysis in Systemic Sclerosis Identifies New Candidate Genes Associated With Multiple Aspects of Disease Pathology 2021 ·Arthritis & Rheumatology ·Martin Kerick, (unknown), Elena Carnero‐Montoro, María Teruel, Marialbert Acosta‐Herrera, Zuzanna Makowska, Anne Buttgereit, Sepideh Babaei, Guillermo Barturen, Elena López‐Isac, Ralf Lesche, Lorenzo Beretta, Marta E. Alarcón‐Riquelme, Javier Martı́n	7
6	Photobleaching Comparison of R-Phycoerythrin-Streptavidin and Streptavidin-Alexa Fluor 568 in a Breast Cancer Cell Line 2019 ·Monoclonal Antibodies in Immunodiagnosis and Immunotherapy ·Seyed Nasser Ostad, Sepideh Babaei, Ali Ahmad Bayat, (unknown)	3
7	Intrarenal activation of adaptive immune effectors is associated with tubular damage and impaired renal function in lupus nephritis 2018 ·Annals of the Rheumatic Diseases ·Cristina Pamfil, Zuzanna Makowska, Aurélie De Groof, Gaëlle Tilman, Sepideh Babaei, Christine Galant, (unknown), Nathalie Demoulin, Michel Jadoul, Selda Aydın, Ralf Lesche, Fiona McDonald, Frédéric Houssiau, Bernard Lauwerys	29
8	Hi-C Chromatin Interaction Networks Predict Co-expression in the Mouse Cortex 2015 ·PLoS Computational Biology ·Sepideh Babaei, Ahmed Mahfouz, Marc Hulsman, Boudewijn P. F. Lelieveldt, Jeroen de Ridder, Marcel Reinders	31
9	3D hotspots of recurrent retroviral insertions reveal long-range interactions with cancer genes 2015 ·Nature Communications ·Sepideh Babaei, Waseem Akhtar, Johann de Jong, Marcel Reinders, Jeroen de Ridder	25
10	Highlights from the Third European International Society for Computational Biology (ISCB) Student Council Symposium 2014 2015 ·BMC Bioinformatics ·Margherita Francescatto, (unknown), Sepideh Babaei, Esmeralda Vicedo, Alexandre Borrel, Pieter Meysman	8
11	Integration of gene expression and DNA-methylation profiles improves molecular subtype classification in acute myeloid leukemia 2015 ·BMC Bioinformatics ·Erdogan Taskesen, Sepideh Babaei, (unknown), Jeroen de Ridder	24
12	Production and Characterization of a Novel Monoclonal Antibody Against Human Sortilin 2015 ·Monoclonal Antibodies in Immunodiagnosis and Immunotherapy ·(unknown), Ali Ahmad Bayat, Sepideh Babaei, Gholamreza Ahmadian, Amir‐Hassan Zarnani, Mehrdad Behmanesh, Mahmood Jeddi‐Tehrani, Hodjattallah Rabbani	7
13	Detecting recurrent gene mutation in interaction network context using multi-scale graph diffusion 2013 ·BMC Bioinformatics ·Sepideh Babaei, Marc Hulsman, Marcel Reinders, Jeroen de Ridder	31
14	Unilateral absence of latissimus dorsi muscle 2012 ·Clinical Anatomy ·Ali Izadpanah, Sepideh Babaei, Mario Luc, (unknown)	1
15	Towards designing modular recurrent neural networks in learning protein secondary structures 2011 ·Expert Systems with Applications ·Sepideh Babaei, (unknown), Seyyed Ali Seyyedsalehi	9
16	Protein secondary structure prediction using modular reciprocal bidirectional recurrent neural networks 2010 ·Computer Methods and Programs in Biomedicine ·Sepideh Babaei, (unknown), Seyyed Ali Seyyedsalehi	22
17	Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCG signals 2008 ·Computers in Biology and Medicine ·Sepideh Babaei, (unknown)	79
18	Pruning neural networks for protein secondary structure prediction 2008 ·Sepideh Babaei, Seyyed Ali Seyyedsalehi, (unknown)	3

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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