Lea Seep

5 papers receiving 116 citations

Peers

Lea Seep
Comparison fields: 5 of 42
  • Health Informatics 3
  • Hematology 18
  • Immunology 24
  • Health Information Management 5
  • Computer Vision and Pattern Recognition 23
Replace Margherita Berardi with:
Margherita Berardi Italy
Xinge Zhao China
Pierre Machart Germany
Ziwei Liu China
Soufiane Mourragui Netherlands
Jacob Carter United Kingdom
Metin Can Siper United States
Muhammad Ammad-ud-din Finland
Christoph Kilian Germany
Lea Seep relative to Margherita Berardi Italy Margherita Berardi's profile →
Citations per field
00.5×4.4×
Margherita Berardi · 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

9 of 9 papers shown
#Work
1 201963
2 202025
3 201923
4 20215
5 20212
6 20260
7 20260
8 20240
9 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 Artificial Intelligence, having authored 9 papers that have together received 118 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Acute Myeloid Leukemia Research (1 paper), Ferroptosis and cancer prognosis (1 paper), Cancer Genomics and Diagnostics (1 paper), Molecular spectroscopy and chirality (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Process Optimization and Integration (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Health Informatics (3 citations), Hematology (18 citations), Immunology (24 citations), Health Information Management (5 citations) and Computer Vision and Pattern Recognition (23 citations). Lea Seep has collaborated with scholars based in Germany, Mozambique and Australia. Frequent co-authors include Thomas Ulas, Joachim L. Schultze, Kathrin Klee, Sach Mukherjee, Matthias Becker, Bernd Taschler, Stefanie Warnat‐Herresthal, Torsten Haferlach, Patrick Günther and Jonas Schulte-Schrepping. Their work appears in journals such as iScience, Cell Reports, Journal of Medicinal Chemistry, Molecular Metabolism and Science.

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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