F Deerberg

1.1k citations
61 papers · 786 indexed · h-index 16
Topics
Virus-based gene therapy research (6 papers)Genetic and Kidney Cyst Diseases (6 papers)Ovarian cancer diagnosis and treatment (5 papers)

In The Last Decade

F Deerberg

58 papers receiving 750 citations

Peers

F Deerberg
Comparison fields: 5 of 90
  • Molecular Biology 285
  • Genetics 237
  • Cellular and Molecular Neuroscience 91
  • Physiology 81
  • Pathology and Forensic Medicine 71
Replace A. Johns with:
A. Johns United States
Xiaolin Li China
W.A. Day New Zealand
Shelley Hoogstraten-Miller United States
Jennifer S. McKay United Kingdom
H E Shubeita United States
Giorgia Egidy France
P. L. Kaye Australia
Béatrice Conne Switzerland
Anne Jackson United States
F Deerberg relative to A. Johns United States A. Johns's profile →
Citations per field
00.5×4.5×
A. Johns · 1×
Citations per year

Countries citing papers authored by F Deerberg

Since Specialization
Citations

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

Fields of papers citing papers by F Deerberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F Deerberg

This figure shows the co-authorship network connecting the top 25 collaborators of F Deerberg. A scholar is included among the top collaborators of F Deerberg 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 F Deerberg. F Deerberg 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
#WorkIndexed citations
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2 10
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4 12
5 8
6 17
7 1
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10
Hereditary polycystic kidney disease. Adult polycystic kidney disease associated with renal hypertension, renal osteodystrophy, and uremic enteritis in SPRD rats.
27
11
A new rat model for polycystic disease of humans.
1
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A new rat model for polycystic kidney disease of humans.
24
13 5
14 7
15 10
16 7
17 6
18 15
19 34
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[Megaesophagus as the cause of death in rats].
1

About F Deerberg

F Deerberg is a scholar working on Genetics, Nephrology and Obstetrics and Gynecology, having authored 61 papers that have together received 786 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Genetic and Kidney Cyst Diseases (6 papers) and Ovarian cancer diagnosis and treatment (5 papers). The work is most often cited by research in Biophysics (65 citations), Aging (15 citations) and Genetics (237 citations). F Deerberg has collaborated with scholars based in Germany, Serbia and United States. Frequent co-authors include Sabine Rehm, P. Mehraein, K. G. Rapp, A. P. Anzil, K. Rapp, Hilmar Stolte, H. Hackbarth, Dieter Mecke, Christian Bartsch and Claudia‐Martina Messow. Their work appears in journals such as JNCI Journal of the National Cancer Institute, FEBS Letters and International Journal of Cancer.

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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