Peter Berger

115 papers receiving 3.8k citations

Peter Berger's Hit Papers

How sex and age affect immune responses, susceptibility to infections, and response to vaccination 2015 · 522 citations
5220+3+7Years since publication100200300400500

Peers

Peter Berger
Comparison fields: 5 of 180
  • Reproductive Medicine 373
  • Urology 233
  • Endocrinology, Diabetes and Metabolism 535
  • Immunology 562
  • Aging 39
Replace Diana W. Bianchi with:
Diana W. Bianchi United States
Miguel Quintanilla Spain
Hye‐Kyung Lee South Korea
Tony K.H. Chung Hong Kong
Michael Katz United States
R.D. Rubens United Kingdom
Yi‐Jen Chen Taiwan
Judith Miller United States
David J. Waters United States
Peter L. Molloy Australia
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Citations per year

Countries citing papers authored by Peter Berger

Since Specialization
Citations

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

Fields of papers citing papers by Peter Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How sex and age affect immune responses, susceptibility to infections, and response to vaccination
Hit paper breakdown →
2015522
2 2010268
3 2005161
4 1965152
5 2004151
6 2011136
7 2000111
8 201499
9 200798
10 200990
11 196679
12 200375
13 198674
14 200563
15 197563
16 199859
17 200355
18 199652
19 200350
20 201249

About Peter Berger

Peter Berger is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Reproductive Medicine, Immunology and Endocrinology, Diabetes and Metabolism, having authored 118 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (14 papers), Prostate Cancer Treatment and Research (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Hormonal and reproductive studies (9 papers), Glycosylation and Glycoproteins Research (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Urinary Bladder and Prostate Research (6 papers) and Sociology and Education Studies (6 papers). The work is most often cited by research in Reproductive Medicine (373 citations), Urology (233 citations), Endocrinology, Diabetes and Metabolism (535 citations), Immunology (562 citations) and Aging (39 citations). Peter Berger has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Beatrix Grubeck‐Loebenstein, Günter Lepperdinger, Christoph Zenzmaier, Natalie Sampson, Eugen Plas, Gerold Untergasser, Stephan Madersbacher, Georg Wick, Pidder Jansen‐Dürr and Martin Hermann. Their work appears in journals such as Endocrinology, Experimental Gerontology, The Prostate, Molecular Endocrinology and Journal of Histochemistry & Cytochemistry.

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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