Cornelia Schroeder

2.1k citations
56 papers · 1.8k · h-index 20

Impact in

Papers in

Cornelia Schroeder

55 papers receiving 1.7k citations

Peers

Cornelia Schroeder
Comparison fields: 5 of 79
  • Molecular Biology 729
  • Cancer Research 113
  • Oncology 181
  • Epidemiology 228
  • Physiology 171
Replace Heping Shi with:
Heping Shi United States
Simon E. Hufton United Kingdom
Päivi M. Ojala Finland
Kyosuke Nagata Japan
Yuichi Machida United States
Katja Lammens Germany
Roeland W. Dirks Netherlands
Guijun Shang China
Nicholas R. Pannunzio United States
Mark Andrake United States
Cornelia Schroeder relative to Heping Shi United States Heping Shi's profile →
Citations per field
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Heping Shi · 1×
Citations per year

Countries citing papers authored by Cornelia Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012237
2 2008234
3 1992120
4 2001117
5 2004102
6 201889
7 201063
8 197761
9 199857
10 201757
11 202054
12 201753
13 199950
14 198532
15 201131
16 201829
17 201727
18 201925
19 198624
20 201720

About Cornelia Schroeder

Cornelia Schroeder is a scholar working on Pulmonary and Respiratory Medicine, Ecology, Molecular Biology, Epidemiology and Genetics, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (17 papers), Bacteriophages and microbial interactions (11 papers), Influenza Virus Research Studies (8 papers), Bacterial Genetics and Biotechnology (7 papers), DNA and Nucleic Acid Chemistry (6 papers), Lipid Membrane Structure and Behavior (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Molecular Biology (729 citations), Cancer Research (113 citations), Oncology (181 citations), Epidemiology (228 citations) and Physiology (171 citations). Cornelia Schroeder has collaborated with scholars based in Germany, Russia and Switzerland. Frequent co-authors include Detlev H. Krüger, Andreas Meisel, Kai Simons, Thomas A. Bickle, Harald Heider, Monika Reuter, Elisabeth Möncke‐Buchner, Julio Lopes Sampaio, Lucie Kalvodova and Clifford A. Lingwood. Their work appears in journals such as Gene, BMC Cancer, FEBS Letters, International Journal of Cancer and Journal of Biological 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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