P. Wild

36 papers receiving 535 citations

Peers

P. Wild
Comparison fields: 5 of 81
  • Endocrinology 90
  • Nephrology 75
  • Microbiology 45
  • Infectious Diseases 88
  • Parasitology 32
Replace Shivangi Agarwal with:
Shivangi Agarwal United States
Eric Alix France
Mari Fujita Japan
Duc Bui Minh Austria
Dani A. C. Heesterbeek Netherlands
Brad Fenwick United States
Erez Yirmiya Israel
Thomas Rudel Germany
Nicole A. Grieshaber United States
A. Noordzij Netherlands
P. Wild relative to Shivangi Agarwal United States Shivangi Agarwal's profile →
Citations per field
00.5×4.4×
Shivangi Agarwal · 1×
Citations per year

Countries citing papers authored by P. Wild

Since Specialization
Citations

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

Fields of papers citing papers by P. Wild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990111
2 200069
3 199742
4 200537
5
[Herpesvirus infection in kids in Switzerland].
197932
6 200224
7 199820
8 197917
9 198016
10 198516
11
Quantitative changes of membranes in rat parathyroid cells related to variations of serum calcium.
198215
12 199514
13
Quantitative aspects of membrane behavior in rat parathyroid cells after depression or elevation of serum calcium.
198514
14 198713
15 198413
16 198912
17 198610
18 19908
19 19988
20 19807

About P. Wild

P. Wild is a scholar working on Nephrology, Molecular Biology, Surgery, Genetics and Cell Biology, having authored 36 papers that have together received 560 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (13 papers), Metabolism, Diabetes, and Cancer (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Cellular transport and secretion (3 papers), Herpesvirus Infections and Treatments (3 papers), Escherichia coli research studies (3 papers), Pancreatic function and diabetes (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Endocrinology (90 citations), Nephrology (75 citations), Microbiology (45 citations), Infectious Diseases (88 citations) and Parasitology (32 citations). P. Wild has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Elisabeth M. Schraner, R. von Fellenberg, Ursula Thomas, Monika Engels, Antonio Pellegrini, A. Pospischil, M. Stamm, H.U. Bertschinger, Michael Bachmann and T. Sydler. Their work appears in journals such as Cells Tissues Organs, Histochemistry and Cell Biology, Journal of Virology, Microscopy Research and Technique and Microscopy and Microanalysis.

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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