J W Voss

1.7k citations
10 papers · 1.3k indexed · 2 hit papers · h-index 8
Topics
Growth Hormone and Insulin-like Growth Factors (5 papers)Rheumatoid Arthritis Research and Therapies (3 papers)Pluripotent Stem Cells Research (2 papers)

In The Last Decade

J W Voss

10 papers receiving 1.3k citations

Hit Papers

Pituitary cell phenotypes involve cell-specific Pit-1 mRN...199020262002201419902018100200300400500

Peers

J W Voss
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 585
  • Molecular Biology 575
  • Genetics 385
  • Rheumatology 197
  • Immunology 146
Replace Pavel N. Pichurin with:
Pavel N. Pichurin United States
Peter J. Sciavolino United States
Adam Denley Australia
Dorra Chérif France
G. Levan Sweden
Fred de Sauvage United States
Jakub Abramson Israel
Krystian Jażdżewski Poland
Gabriella Wright United States
Aleata A. Triplett United States
J W Voss relative to Pavel N. Pichurin United States Pavel N. Pichurin's profile →
Citations per field
00.5×3.2×
Pavel N. Pichurin · 1×
Citations per year

Countries citing papers authored by J W Voss

Since Specialization
Citations

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

Fields of papers citing papers by J W Voss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J W Voss. 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 J W Voss. The network helps show where J W Voss may publish in the future.

Co-authorship network of co-authors of J W Voss

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1
In vitro and in vivo characterization of the JAK1 selectivity of upadacitinib (ABT-494)breakdown →
276
2 30
3 4
4 62
5 5
6 27
7 174
8 50
9 182
10
Pituitary cell phenotypes involve cell-specific Pit-1 mRNA translation and synergistic interactions with other classes of transcription factors.breakdown →
527

About J W Voss

J W Voss is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology and Immunology and Allergy, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (585 citations), Genetics (385 citations) and Rheumatology (197 citations). J W Voss has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Michael G. Rosenfeld, Donna M. Simmons, Jeffrey M. Holloway, Holly A. Ingraham, Ron S. Broide, Larry W. Swanson, L Wilson, Robert J. Padley, Jonathan S. George and Matthew Rosebraugh. Their work appears in journals such as Cell, Journal of Biological Chemistry and Genes & Development.

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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