Claudia Schuster

2.1k citations
19 papers · 544 indexed · h-index 12

Impact in

Papers in

Claudia Schuster

19 papers receiving 532 citations

Peers

Claudia Schuster
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 128
  • Cancer Research 111
  • Molecular Biology 348
  • Genetics 110
  • Biochemistry 21
Replace Donatella Tombaccini with:
Donatella Tombaccini Italy
Claire Hughes United Kingdom
Soung Jung Kim South Korea
M J McKay United Kingdom
Kimi S. Hatton United States
Sonia Hovsépian France
Edward Chin United States
Rheem D. Medh United States
Erin K. Cloherty United States
Liesbeth Clinckemalie Belgium
Claudia Schuster relative to Donatella Tombaccini Italy Donatella Tombaccini's profile →
Citations per field
00.5×
Donatella Tombaccini · 1×
Citations per year

Countries citing papers authored by Claudia Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Claudia Schuster, 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 Claudia Schuster Line = papers co-authored together Claudia Schuster links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201645
2 201610
3 20167
4 201216
5 201014
6 200930
7 200729
8 200678
9 200534
10 200417
11 200391
12 200332
13 200279
14 20015
15 20001
16
Cell cycle-dependent initiation of adenosine triphosphatase-deficient populations in adult rat liver by a single dose of N-methyl-N-nitrosourea.
198628
17 19857
18 198511
19 198410

About Claudia Schuster

Claudia Schuster is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Hematology, Molecular Biology and Clinical Biochemistry, having authored 19 papers that have together received 544 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (4 papers), DNA Repair Mechanisms (3 papers), Acute Myeloid Leukemia Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Molecular Biology Techniques and Applications (2 papers), MicroRNA in disease regulation (2 papers), Mycotoxins in Agriculture and Food (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (128 citations), Cancer Research (111 citations), Molecular Biology (348 citations), Genetics (110 citations) and Biochemistry (21 citations). Claudia Schuster has collaborated with scholars based in Germany, Austria and Canada. Frequent co-authors include Michael Gekle, Ruth Freudinger, Alexander W. Krug, Sigrid Mildenberger, Gerald Schwerdt, Claudia Großmann, Manjapra V. Govindan, H. Rabes, Birgit Gaßner and Annemarie Poustka. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cancer Research and Clinical Oncology, Clinical Epigenetics, British Journal of Haematology and Histopathology.

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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