Lea Seep

5 papers receiving 113 citations

Peers

Lea Seep
Comparison fields: 5 of 43
  • Health Informatics 3
  • Hematology 17
  • Health Information Management 6
  • Immunology 25
  • Computer Vision and Pattern Recognition 22
Replace Le Yang with:
Le Yang China
Margherita Berardi Italy
Pierre Machart Germany
Steven Xu United States
Runyu Jing China
Muhammad Ammad-ud-din Finland
Christoph Kilian Germany
Jacob Carter United Kingdom
Lea Seep relative to Le Yang China Le Yang's profile →
Citations per field
00.5×1.5×2.3×
Le Yang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Lea Seep, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lea Seep Line = papers co-authored together Lea Seep links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201960
2 202025
3 201923
4 20215
5 20212
6 20250

About Lea Seep

Lea Seep is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Control and Systems Engineering, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 6 papers that have together received 115 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper), Molecular spectroscopy and chirality (1 paper), Computational Drug Discovery Methods (1 paper), Acute Myeloid Leukemia Research (1 paper), Process Optimization and Integration (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Health Informatics (3 citations), Hematology (17 citations), Health Information Management (6 citations), Immunology (25 citations) and Computer Vision and Pattern Recognition (22 citations). Lea Seep has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Joachim L. Schultze, Thomas Ulas, Kathrin Klee, Patrick Günther, Torsten Haferlach, Kevin Baßler, Sach Mukherjee, Marc Beyer, Konstantinos Perrakis and Jonas Schulte-Schrepping. Their work appears in journals such as iScience, Scientific Reports, Journal of Cheminformatics, Cell Reports and Journal of Medicinal Chemistry.

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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