S Seeber

652 total citations
10 papers, 519 citations indexed

About

S Seeber is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, S Seeber has authored 10 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in S Seeber's work include Protein Kinase Regulation and GTPase Signaling (1 paper), T-cell and Retrovirus Studies (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). S Seeber is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (1 paper), T-cell and Retrovirus Studies (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). S Seeber collaborates with scholars based in Germany, United States and Netherlands. S Seeber's co-authors include R. Kath, Norbert Bornfeld, W. Sauerwein, K. Höffken, Helmut Esche, J. Schütte, H. Hoppe, W. Michael Korn, Reiner Strick and Ron F. Suijkerbuijk and has published in prestigious journals such as Cancer, Human Reproduction and Mucosal Immunology.

In The Last Decade

S Seeber

9 papers receiving 500 citations

Peers

S Seeber
Comparison fields: 5 of 55
  • Molecular Biology 211
  • Ophthalmology 191
  • Oncology 139
  • Immunology 121
  • Surgery 84
Replace David W. Cottam with:
David W. Cottam United Kingdom
Anuradha Bulusu United States
M.F. González‐Escribano Spain
Nobuaki Hatta Japan
Michael Varello United States
Birgitte Ravn Juhl Denmark
Timo Pietiläinen Finland
A. Schmitt‐Gräff Germany
Rekha Parmar United Kingdom
Tjoung‐Won Park Germany
David W. Cottam United Kingdom View profile →
Citations per field, relative to S Seeber
S Seeber · 1×
Citations per year, relative to S Seeber
S Seeber · 1×

Countries citing papers authored by S Seeber

Since Specialization
Citations

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

Fields of papers citing papers by S Seeber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Seeber

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 57
2 27
3 54
4 15
5
Recombinant gene products of two natural variants of the human cytidine deaminase gene confer different deamination rates of cytarabine in vitro.
59
6 77
7 227
8
[Base analyses, oligonucleotide sequences and marking kinetics of high molecular ribonucleic acids of human leukemias and lymphomas].
1
9
[Comparative in vitro studies with 5-fluorouracil and some of its derivatives].
1
10
[Effect of E. coli-L-asparaginase on the nucleic acid metabolism of lymphatic bovine leukemia cells].
1

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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