Kai‐Olaf Netzer

27 papers receiving 1.1k citations

Peers

Kai‐Olaf Netzer
Comparison fields: 5 of 70
  • Immunology and Allergy 396
  • Nephrology 234
  • Virology 142
  • Genetics 180
  • Pulmonary and Respiratory Medicine 297
Replace A. Luz with:
A. Luz Germany
E. Brandt Germany
Jeannine M. Clemetson Switzerland
Mary Kay McCormick United States
C Plater-Zyberk United Kingdom
R T McCluskey United States
K Sugita Japan
Jennifer Barnard United States
Fergus Davison United Kingdom
Jacques Banchereau United States
Kai‐Olaf Netzer relative to A. Luz Germany A. Luz's profile →
Citations per field
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A. Luz · 1×
Citations per year

Countries citing papers authored by Kai‐Olaf Netzer

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Olaf Netzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Olaf Netzer. 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 Kai‐Olaf Netzer. The network helps show where Kai‐Olaf Netzer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000180
2 1999160
3 1995147
4 2000106
5 199477
6 199275
7 199056
8 199049
9 199844
10 199639
11 200337
12
Human foamy virus proteins accumulate in neurons and induce multinucleated giant cells in the brain of transgenic mice.
199337
13 199233
14 199331
15 199927
16 200120
17 199913
18 19968
19
Therapeutic options for critically ill patients suffering from progressive lupus nephritis or Goodpasture's syndrome.
19988
20 19877

About Kai‐Olaf Netzer

Kai‐Olaf Netzer is a scholar working on Immunology and Allergy, Molecular Biology, Genetics, Genetics and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (11 papers), Vasculitis and related conditions (4 papers), Connective tissue disorders research (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), RNA Interference and Gene Delivery (3 papers), T-cell and Retrovirus Studies (3 papers), Platelet Disorders and Treatments (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Immunology and Allergy (396 citations), Nephrology (234 citations), Virology (142 citations), Genetics (180 citations) and Pulmonary and Respiratory Medicine (297 citations). Kai‐Olaf Netzer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Billy G. Hudson, Dorin‐Bogdan Borza, Axel Rethwilm, Anu Leinonen, Sripad Gunwar, Ariel Boutaud, Oliver Pullig, Parvin Todd, M. Weber and Bernd Maurer. Their work appears in journals such as Nephrology Dialysis Transplantation, Kidney International, Journal of Biological Chemistry, Journal of the American Society of Nephrology and Journal of General Virology.

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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