P. Kramer

629 citations
22 papers · 490 indexed · h-index 12
    • Renal Transplantation Outcomes and Treatments 5
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies 4
  • Hepatology top 10%
    • Hepatitis Viruses Studies and Epidemiology 2
    • Influenza Virus Research Studies 4
    • Cytomegalovirus and herpesvirus research 3
    • SARS-CoV-2 and COVID-19 Research 3
    • Viral-associated cancers and disorders 2
    • Immunotherapy and Immune Responses 2

P. Kramer

22 papers receiving 475 citations

Peers

P. Kramer
Comparison fields: 5 of 51
  • Transplantation 136
  • Nephrology 151
  • Hepatology 96
  • Epidemiology 213
  • Infectious Diseases 62
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Citations per year

Countries citing papers authored by P. Kramer

Since Specialization
Citations

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

Fields of papers citing papers by P. Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Dihydrotestosterone treatment in mice induces a persistent polycystic ovary syndrome phenotype
20122
2 200189
3 19983
4 199740
5 19969
6 199252
7 19916
8 199011
9 199015
10 19909
11 198817
12
Fractional excretion of protein: a marker of the efficacy of cyclosporine A treatment in nephrotic syndrome.
19886
13 198724
14 19856
15
The incidence of cytomegalo- and herpes simplex virus infections in renal allograft recipients treated with high dose recombinant leucocyte interferon: a controlled study.
198514
16 19854
17 198511
18 198498
19 19831
20 197313

About P. Kramer

P. Kramer is a scholar working on Transplantation, Nephrology, Hepatology, Epidemiology and Infectious Diseases, having authored 22 papers that have together received 490 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (5 papers), Influenza Virus Research Studies (4 papers), Renal Diseases and Glomerulopathies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Viral-associated cancers and disorders (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Transplantation (136 citations), Nephrology (151 citations), Hepatology (96 citations), Epidemiology (213 citations) and Infectious Diseases (62 citations). P. Kramer has collaborated with scholars based in Netherlands, Germany and Gabon. Frequent co-authors include Willem Weimar, Johannes Jeekel, Robert Zietse, Fibo W.J. ten Kate, A.B. Bijnen, N. Masurel, W.E.P. Beyer, Dennis Versluis, Maarten A.D.H. Schalekamp and P. J. H. Smak Gregoor. Their work appears in journals such as Nephrology Dialysis Transplantation, Transplantation, ˜The œNephron journals/Nephron journals, Antiviral Research and European Journal of Clinical Investigation.

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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