Alper Eroğlu

716 total citations · 1 hit paper
6 papers, 397 citations indexed

About

Alper Eroğlu is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Alper Eroğlu has authored 6 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Alper Eroğlu's work include Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (2 papers) and Epigenetics and DNA Methylation (2 papers). Alper Eroğlu is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (2 papers) and Epigenetics and DNA Methylation (2 papers). Alper Eroğlu collaborates with scholars based in Sweden, United States and Türkiye. Alper Eroğlu's co-authors include Duygu Ucar, Jacques Banchereau, Radu Marcheş, Djamel Nehar-Belaid, George A. Kuchel, Eladio J. Márquez, David J. Mellert, Cheng‐Han Chung, Robert J. Rossi and Asa Thibodeau and has published in prestigious journals such as Nature Communications, Scientific Reports and Genome biology.

In The Last Decade

Alper Eroğlu

5 papers receiving 393 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sexual-dimorphism in human immune system aging

2020 342 citations Eladio J. Márquez, Cheng‐Han Chung et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alper Eroğlu Sweden	5	130	129	65	58	41	6	397
Ayelet Alpert Israel	7	153 1.2×	178 1.4×	40 0.6×	43 0.7×	41 1.0×	10	409
Kumba Seddu United States	6	66 0.5×	135 1.0×	32 0.5×	29 0.5×	38 0.9×	11	336
Charles Bayard France	12	87 0.7×	172 1.3×	29 0.4×	44 0.8×	39 1.0×	17	386
Hyun Kim United States	10	99 0.8×	169 1.3×	31 0.5×	26 0.4×	44 1.1×	14	451
Pimpayao Sodsai Thailand	14	113 0.9×	153 1.2×	79 1.2×	19 0.3×	44 1.1×	40	515
Shimona Madalli United Kingdom	5	81 0.6×	100 0.8×	28 0.4×	39 0.7×	25 0.6×	6	326
Jake A. Robinson United States	12	109 0.8×	64 0.5×	92 1.4×	25 0.4×	11 0.3×	24	393
Marco Mattioli Italy	10	107 0.8×	88 0.7×	157 2.4×	28 0.5×	18 0.4×	16	418
Hannes Hudalla Germany	15	126 1.0×	240 1.9×	30 0.5×	46 0.8×	13 0.3×	32	569
Alexander J. Gill United States	15	157 1.2×	73 0.6×	109 1.7×	34 0.6×	44 1.1×	20	569

Countries citing papers authored by Alper Eroğlu

Since Specialization

Citations

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

Fields of papers citing papers by Alper Eroğlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alper Eroğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Alper Eroğlu. A scholar is included among the top collaborators of Alper Eroğlu 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 Alper Eroğlu. Alper Eroğlu 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:

6 of 6 papers shown

1.

Cougnoux, Antony, et al.. (2025). Diffusion Smart-seq3 of breast cancer spheroids to explore spatial tumor biology and test evolutionary principles of tumor heterogeneity. Scientific Reports. 15(1). 3811–3811. 6 indexed citations

2.

Watson, Spencer S., Matteo Massara, Klara Soukup, et al.. (2025). Multi-cellular phenotypic dynamics during the progression of an immunocompetent breast cancer model. iScience. 28(11). 113808–113808.

3.

Kang, Ziqi, et al.. (2023). NIPMAP: niche-phenotype mapping of multiplex histology data by community ecology. Nature Communications. 14(1). 7182–7182. 7 indexed citations

4.

Thibodeau, Asa, et al.. (2021). CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data. PLoS Computational Biology. 17(12). e1009670–e1009670. 7 indexed citations

5.

Thibodeau, Asa, Alper Eroğlu, Christopher S. McGinnis, et al.. (2021). AMULET: a novel read count-based method for effective multiplet detection from single nucleus ATAC-seq data. Genome biology. 22(1). 252–252. 35 indexed citations

6.

Márquez, Eladio J., Cheng‐Han Chung, Radu Marcheş, et al.. (2020). Sexual-dimorphism in human immune system aging. Nature Communications. 11(1). 751–751. 342 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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