James R. Priess

2.4k citations
8 papers · 2.0k indexed · 1 hit paper · h-index 8
Topics
Genetics, Aging, and Longevity in Model Organisms (8 papers)CRISPR and Genetic Engineering (3 papers)Circadian rhythm and melatonin (3 papers)

In The Last Decade

James R. Priess

8 papers receiving 2.0k citations

Hit Papers

Identification of genes required for cytoplasmic localiza...19882026200020131988200400600

Peers

James R. Priess
Comparison fields: 5 of 82
  • Aging 1.4k
  • Molecular Biology 1.3k
  • Public Health, Environmental and Occupational Health 415
  • Cell Biology 391
  • Endocrine and Autonomic Systems 273
Replace Tetsunari Fukushige with:
Tetsunari Fukushige United States
Judith Austin United States
Hitoshi Sawa Japan
Jeffrey S. Simske United States
Olaf Bossinger Germany
Diane G. Morton United States
Marco C. Betist Netherlands
Anna P. Newman United States
Lynn Boyd United States
Maria Gallegos United States
James R. Priess relative to Tetsunari Fukushige United States Tetsunari Fukushige's profile →
Citations per field
00.5×3.0×
Tetsunari Fukushige · 1×
Citations per year

Countries citing papers authored by James R. Priess

Since Specialization
Citations

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

Fields of papers citing papers by James R. Priess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Priess. 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 James R. Priess. The network helps show where James R. Priess may publish in the future.

Co-authorship network of co-authors of James R. Priess

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Priess. A scholar is included among the top collaborators of James R. Priess 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 James R. Priess. James R. Priess is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 207
2 230
3 236
4 117
5 34
6 207
7
Identification of genes required for cytoplasmic localization in early C. elegans embryosbreakdown →
701
8 297

About James R. Priess

James R. Priess is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 8 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), CRISPR and Genetic Engineering (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Aging (1.4k citations), Endocrine and Autonomic Systems (273 citations) and Cell Biology (391 citations). James R. Priess has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Diane G. Morton, Kenneth J. Kemphues, N N Cheng, Ralf Schnabel, Heinke Schnabel, Bruce W. Draper, Russell J. Hill, Craig C. Mello, Charlotte Schubert and Harold Weintraub. Their work appears in journals such as Cell, Molecular Cell and Developmental Biology.

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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