Philip Wedegaertner

4.6k citations
61 papers · 3.8k indexed · h-index 32
Topics
Protein Kinase Regulation and GTPase Signaling (39 papers)Receptor Mechanisms and Signaling (23 papers)Cellular transport and secretion (14 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Philip Wedegaertner

61 papers receiving 3.7k citations

Peers

Philip Wedegaertner
Comparison fields: 5 of 99
  • Molecular Biology 3.2k
  • Cell Biology 1.0k
  • Cellular and Molecular Neuroscience 960
  • Oncology 315
  • Physiology 222
Replace Nikolai P. Skiba with:
Nikolai P. Skiba United States
Gregory G. Tall United States
N. Gautam United States
Kazuko Fujisawa Japan
Anne B. Vojtek United States
Susanne M. Mumby United States
Hiroshi Koide Japan
Randall N. Pittman United States
José Vázquez‐Prado Mexico
Franz‐Josef Johannes Germany
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Citations per field
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Nikolai P. Skiba · 1×
Citations per year

Countries citing papers authored by Philip Wedegaertner

Since Specialization
Citations

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

Fields of papers citing papers by Philip Wedegaertner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Wedegaertner

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Wedegaertner. A scholar is included among the top collaborators of Philip Wedegaertner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip Wedegaertner. Philip Wedegaertner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 5
3 9
4 69
5 13
6 30
7 81
8 16
9 59
10 33
11 142
12 32
13 26
14 66
15 104
16 81
17 12
18 275
19 101
20 15

About Philip Wedegaertner

Philip Wedegaertner is a scholar working on Cell Biology, Immunology and Allergy and Molecular Biology, having authored 61 papers that have together received 3.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (39 papers), Receptor Mechanisms and Signaling (23 papers) and Cellular transport and secretion (14 papers). The work is most often cited by research in Cell Biology (1.0k citations), Cellular and Molecular Neuroscience (960 citations) and Molecular Biology (3.2k citations). Philip Wedegaertner has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Henry R. Bourne, Paul T. Wilson, Jeffrey Benovic, Roshanak Irannejad, Manimekalai M. Thiyagarajan, Daniel Evanko, Raja Bhattacharyya, Peter Day, Mark von Zastrow and Mark J. Levis. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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