F Deerberg

58 papers receiving 746 citations

Peers

F Deerberg
Comparison fields: 5 of 90
  • Biophysics 64
  • Aging 15
  • Genetics 223
  • Nephrology 46
  • Reproductive Medicine 50
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Xiaolin Li China
W.A. Day New Zealand
Shelley Hoogstraten-Miller United States
Natsuhiko Kumasaka Japan
Jennifer S. McKay United Kingdom
Milan Petrović Serbia
Joris H. Robben Netherlands
P. L. Kaye Australia
Young Gyu Ko South Korea
Petter Storm Sweden
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Citations per field
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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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new rat mutant with defective overhairs and spongy degeneration of the central nervous system: clinical and pathologic studies.
198276
2 200265
3 198959
4 198052
5 198749
6 197634
7
Mortality and incidence of spontaneous neoplasms in BDII/Han rats.
198729
8
Hereditary polycystic kidney disease. Adult polycystic kidney disease associated with renal hypertension, renal osteodystrophy, and uremic enteritis in SPRD rats.
199127
9 198126
10
A new rat model for polycystic kidney disease of humans.
199024
11 198422
12
Influence of food restriction and body fat on life span and tumour incidence in female outbred Han:NMRI mice and two sublines.
198521
13 198319
14 199217
15
Differences in the pattern of endogenous lectins from spontaneous rat mammary tumors.
198617
16 199416
17 198015
18 199312
19 200110
20 198510

About F Deerberg

F Deerberg is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Nephrology, having authored 61 papers that have together received 782 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (6 papers), Virus-based gene therapy research (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), Estrogen and related hormone effects (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Tumors and Oncological Cases (3 papers). The work is most often cited by research in Biophysics (64 citations), Aging (15 citations), Genetics (223 citations), Nephrology (46 citations) and Reproductive Medicine (50 citations). F Deerberg has collaborated with scholars based in Germany, Serbia and United States. Frequent co-authors include Sabine Rehm, P. Mehraein, A. P. Anzil, K. G. Rapp, K. Rapp, H. Hackbarth, Hilmar Stolte, Claudia‐Martina Messow, Christian Bartsch and Dieter Mecke. Their work appears in journals such as Laboratory Animals, Journal of Comparative Pathology, Veterinary Pathology, JNCI Journal of the National Cancer Institute and Neurobiology of Aging.

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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