P. Kramer

629 citations
22 papers · 490 · h-index 12

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Dialysis and Renal Disease Management

Papers in

    • Influenza Virus Research Studies 4
    • Cytomegalovirus and herpesvirus research 3
    • Hepatitis B Virus Studies 2
    • SARS-CoV-2 and COVID-19 Research 3

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 field
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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-authors

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

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198498
2 200189
3 199252
4 199740
5 198738
6 198724
7
Nephrotic syndrome in Hodgkin's disease. Report of five cases and review of the literature.
198122
8 198817
9 199015
10
The incidence of cytomegalo- and herpes simplex virus infections in renal allograft recipients treated with high dose recombinant leucocyte interferon: a controlled study.
198514
11 197313
12 199011
13 198511
14 19969
15 19909
16 19856
17 19916
18
Fractional excretion of protein: a marker of the efficacy of cyclosporine A treatment in nephrotic syndrome.
19886
19 19854
20 19983

About P. Kramer

P. Kramer is a scholar working on Epidemiology, Infectious Diseases, Nephrology, Transplantation and Molecular Biology, 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), Cytomegalovirus and herpesvirus research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Viral-associated cancers and disorders (2 papers), Hepatitis B Virus Studies (2 papers) and Receptor Mechanisms and Signaling (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, P. J. H. Smak Gregoor and Maarten A.D.H. Schalekamp. 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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