Brian J. Skaggs

2.7k total citations
35 papers, 2.0k citations indexed

About

Brian J. Skaggs is a scholar working on Immunology, Rheumatology and Hematology. According to data from OpenAlex, Brian J. Skaggs has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 18 papers in Rheumatology and 10 papers in Hematology. Recurrent topics in Brian J. Skaggs's work include Systemic Lupus Erythematosus Research (16 papers), Atherosclerosis and Cardiovascular Diseases (14 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Brian J. Skaggs is often cited by papers focused on Systemic Lupus Erythematosus Research (16 papers), Atherosclerosis and Cardiovascular Diseases (14 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Brian J. Skaggs collaborates with scholars based in United States, Australia and United Kingdom. Brian J. Skaggs's co-authors include Bevra H. Hahn, Maureen McMahon, Charles L. Sawyers, Michael R. Burgess, Neil P. Shah, Francis Y. Lee, Timothy P. Hughes, Ronald Paquette, Susan Branford and John Nicoll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

In The Last Decade

Brian J. Skaggs

33 papers receiving 2.0k citations

Peers

Brian J. Skaggs
Comparison fields: 5 of 90
  • Rheumatology 971
  • Immunology 847
  • Hematology 578
  • Genetics 467
  • Molecular Biology 415
Replace Vibe Skov with:
Vibe Skov Denmark
Leif Stenke Sweden
Julie A. Vrana United States
Karoline V. Gleixner Austria
Gautam Shrikhande United States
Catherine Dutreix Switzerland
Florian H. Heidel Germany
Vittorio Perfetti Italy
Steven Knapper United Kingdom
Norma E. Fox United States
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Citations per field, relative to Brian J. Skaggs
Brian J. Skaggs · 1×
Citations per year, relative to Brian J. Skaggs
Brian J. Skaggs · 1×

Countries citing papers authored by Brian J. Skaggs

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Skaggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian J. Skaggs

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Skaggs. A scholar is included among the top collaborators of Brian J. Skaggs 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 Brian J. Skaggs. Brian J. Skaggs 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
# Work Indexed citations
1 0
2 20
3 3
4 11
5 27
6 33
7 194
8 111
9 80
10 29
11 51
12 95
13 32
14 161
15 24
16 78
17 288
18 6
19 8
20 39

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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