Lea Seep

551 total citations
6 papers, 115 citations indexed

About

Lea Seep is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Control and Systems Engineering. According to data from OpenAlex, Lea Seep has authored 6 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Pediatrics, Perinatology and Child Health and 1 paper in Control and Systems Engineering. Recurrent topics in Lea Seep's work include Epigenetics and DNA Methylation (2 papers), Acute Myeloid Leukemia Research (1 paper) and Chemical Synthesis and Analysis (1 paper). Lea Seep is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Acute Myeloid Leukemia Research (1 paper) and Chemical Synthesis and Analysis (1 paper). Lea Seep collaborates with scholars based in Germany and Netherlands. Lea Seep's co-authors include Thomas Ulas, Kathrin Klee, Joachim L. Schultze, Jonas Schulte-Schrepping, Bernd Taschler, Matthias Becker, Torsten Haferlach, Sach Mukherjee, Kevin Baßler and Marc Beyer and has published in prestigious journals such as Scientific Reports, Journal of Medicinal Chemistry and Cell Reports.

In The Last Decade

Lea Seep

5 papers receiving 113 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lea Seep Germany 4 60 25 22 21 17 6 115
Margherita Berardi Italy 8 36 0.6× 10 0.4× 25 1.1× 26 1.2× 17 1.0× 22 141
Ziwei Liu China 7 51 0.8× 9 0.4× 38 1.7× 7 0.3× 5 0.3× 26 137
George Alexandru Adam Canada 3 117 1.9× 15 0.6× 10 0.5× 41 2.0× 4 0.2× 4 242
Pierre Machart Germany 6 175 2.9× 36 1.4× 15 0.7× 36 1.7× 2 0.1× 9 228
Le Yang China 9 215 3.6× 11 0.4× 20 0.9× 64 3.0× 8 0.5× 21 288
Nicholas D. Johnson United States 8 87 1.4× 20 0.8× 7 0.3× 25 1.2× 2 0.1× 14 189
Steven Xu United States 9 44 0.7× 10 0.4× 5 0.2× 55 2.6× 7 0.4× 33 212
Runyu Jing China 10 247 4.1× 11 0.4× 4 0.2× 14 0.7× 6 0.4× 46 314
Xingxin Pan United States 7 207 3.5× 31 1.2× 3 0.1× 20 1.0× 4 0.2× 13 276
Metin Can Siper United States 5 111 1.9× 8 0.3× 9 0.4× 5 0.2× 5 0.3× 8 167

Countries citing papers authored by Lea Seep

Since Specialization
Citations

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

Fields of papers citing papers by Lea Seep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Seep

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

All Works

6 of 6 papers shown
1.
Seep, Lea, Margret H. Bülow, Katrin Kierdorf, et al.. (2025). Developmental programming by maternal obesity alters offspring lifespan and immune responses in a diet- and sex-specific manner. PubMed. 183. 204040–204040.
2.
Seep, Lea, Zahra Razaghi‐Moghadam, & Zoran Nikoloski. (2021). Reaction lumping in metabolic networks for application with thermodynamic metabolic flux analysis. Scientific Reports. 11(1). 8544–8544. 2 indexed citations
3.
Seep, Lea, et al.. (2021). Ensemble completeness in conformer sampling: the case of small macrocycles. Journal of Cheminformatics. 13(1). 55–55. 5 indexed citations
4.
Blaise, Émilie, Pierre‐Luc Boudreault, Thomas Neubauer, et al.. (2020). Structure–Permeability Relationship of Semipeptidic Macrocycles—Understanding and Optimizing Passive Permeability and Efflux Ratio. Journal of Medicinal Chemistry. 63(13). 6774–6783. 25 indexed citations
5.
Warnat‐Herresthal, Stefanie, Konstantinos Perrakis, Bernd Taschler, et al.. (2019). Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics. iScience. 23(1). 100780–100780. 60 indexed citations
6.
Salvagno, Camilla, Theodore S. Kapellos, Cheei‐Sing Hau, et al.. (2019). Transcriptional Signature Derived from Murine Tumor-Associated Macrophages Correlates with Poor Outcome in Breast Cancer Patients. Cell Reports. 29(5). 1221–1235.e5. 23 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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