Robert D. Phair

6.0k citations
41 papers · 4.3k indexed · 1 hit paper · h-index 24
Topics
Cellular transport and secretion (5 papers)RNA Research and Splicing (5 papers)Lipid Membrane Structure and Behavior (4 papers)

In The Last Decade

Robert D. Phair

40 papers receiving 4.2k citations

Hit Papers

High mobility of proteins in the mammalian cell nucleus200020262008201720002505007501000

Peers

Robert D. Phair
Comparison fields: 5 of 135
  • Molecular Biology 3.2k
  • Cell Biology 915
  • Physiology 350
  • Biophysics 335
  • Surgery 330
Replace Valarie A. Barr with:
Valarie A. Barr United States
Megan A. Rizzo United States
Chang‐Deng Hu United States
Hans‐Dieter Söling Germany
Miho Iijima United States
Mathias J. Gerl Germany
Victor C. Yu Singapore
Verena Niggli Switzerland
Sylwia Wasiak Canada
Giulietta Di Benedetto Italy
Robert D. Phair relative to Valarie A. Barr United States Valarie A. Barr's profile →
Citations per field
00.5×1.6×
Valarie A. Barr · 1×
Citations per year

Countries citing papers authored by Robert D. Phair

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Phair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert D. Phair. 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 Robert D. Phair. The network helps show where Robert D. Phair may publish in the future.

Co-authorship network of co-authors of Robert D. Phair

This figure shows the co-authorship network connecting the top 25 collaborators of Robert D. Phair. A scholar is included among the top collaborators of Robert D. Phair 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 Robert D. Phair. Robert D. Phair 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 4
2 13
3 4
4 58
5 9
6
ProcessDB: A Cellular Process Database Supporting Large-Scale Iterative Kinetic Modeling in Cell Biology
0
7 230
8 26
9 36
10 238
11 68
12 64
13 277
14 4
15 211
16 445
17
High mobility of proteins in the mammalian cell nucleusbreakdown →
1008
18 5
19 27
20 14

About Robert D. Phair

Robert D. Phair is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism and Biological Psychiatry, having authored 41 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), RNA Research and Splicing (5 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Biophysics (335 citations), Cell Biology (915 citations) and Molecular Biology (3.2k citations). Robert D. Phair has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Tom Misteli, Jennifer Lippincott‐Schwartz, Tom Misteli, Stanislaw A. Gorski, Roman Polishchuk, Koret Hirschberg, Theresa H Roberts, Robert Lodge, Benjamin J. Nichols and Anne K. Kenworthy. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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