Camilla U. Rang

930 total citations
20 papers, 649 citations indexed

About

Camilla U. Rang is a scholar working on Genetics, Molecular Biology and Endocrinology. According to data from OpenAlex, Camilla U. Rang has authored 20 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 10 papers in Molecular Biology and 8 papers in Endocrinology. Recurrent topics in Camilla U. Rang's work include Bacterial Genetics and Biotechnology (8 papers), Evolution and Genetic Dynamics (6 papers) and Gene Regulatory Network Analysis (4 papers). Camilla U. Rang is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Evolution and Genetic Dynamics (6 papers) and Gene Regulatory Network Analysis (4 papers). Camilla U. Rang collaborates with scholars based in United States, Sweden and Brazil. Camilla U. Rang's co-authors include Lin Chao, Søren Molin, Karen A. Krogfelt, Tine Rask Licht, Lars Poulsen, Chao Shi, James E. Galen, James B. Kaper, Patricia L. Conway and Tore Midtvedt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.

In The Last Decade

Camilla U. Rang

19 papers receiving 642 citations

Peers

Camilla U. Rang
Comparison fields: 5 of 85
  • Molecular Biology 332
  • Genetics 263
  • Ecology 157
  • Endocrinology 104
  • Food Science 94
Replace Maria-Halima Laaberki with:
Maria-Halima Laaberki France
Philipp Oberhettinger Germany
Ryan T. Leenay United States
Marie-Luise Eschbach Germany
Marnix Vlot Netherlands
Yingxing Li China
Thean‐Hock Tang Malaysia
Jens Kortmann Germany
Henrik Almblad United States
Elisa T. Granato United Kingdom
Maria-Halima Laaberki France View profile →
Citations per field, relative to Camilla U. Rang
Camilla U. Rang · 1×
Citations per year, relative to Camilla U. Rang
Camilla U. Rang · 1×

Countries citing papers authored by Camilla U. Rang

Since Specialization
Citations

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

Fields of papers citing papers by Camilla U. Rang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Camilla U. Rang. 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 Camilla U. Rang. The network helps show where Camilla U. Rang may publish in the future.

Co-authorship network of co-authors of Camilla U. Rang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 14
4 25
5 31
6 35
7 23
8 27
9 53
10 4
11 38
12 51
13 51
14 68
15 4
16 46
17 5
18 8
19 2
20 158

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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