Susan M. Viselli

1.2k citations
24 papers · 1.0k indexed · h-index 15
Topics
T-cell and B-cell Immunology (7 papers)Innovations in Medical Education (5 papers)Adrenal Hormones and Disorders (5 papers)
Partner nations
United States

In The Last Decade

Susan M. Viselli

24 papers receiving 991 citations

Peers

Susan M. Viselli
Comparison fields: 5 of 115
  • Immunology 410
  • Endocrinology, Diabetes and Metabolism 220
  • Molecular Biology 156
  • Public Health, Environmental and Occupational Health 127
  • Genetics 122
Replace Melanie Gubbels Bupp with:
Melanie Gubbels Bupp United States
Lance Miller United States
Cherié Butts United States
Nigel Page United Kingdom
Patrizia Luppi United States
Rinaldo Wellerson Pereira Brazil
Tom Hahn Austria
Lauren Anton United States
Weronica E. Ek Sweden
Masaharu Kamada Japan
Susan M. Viselli relative to Melanie Gubbels Bupp United States Melanie Gubbels Bupp's profile →
Citations per field
00.5×1.6×
Melanie Gubbels Bupp · 1×
Citations per year

Countries citing papers authored by Susan M. Viselli

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Viselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Viselli. 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 Susan M. Viselli. The network helps show where Susan M. Viselli may publish in the future.

Co-authorship network of co-authors of Susan M. Viselli

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Viselli. A scholar is included among the top collaborators of Susan M. Viselli 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 Susan M. Viselli. Susan M. Viselli 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 12
3 32
4 10
5 39
6
Cell and Molecular Biology
1
7 7
8 30
9 191
10 41
11 28
12 8
13 121
14 97
15
Castration of normal male mice results in B cell expansion which is reversible with androgen replacement
1
16 85
17
Castration alters peripheral immune function in normal male mice.
114
18 59
19 71
20 9

About Susan M. Viselli

Susan M. Viselli is a scholar working on Anatomy, Family Practice and Immunology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Innovations in Medical Education (5 papers) and Adrenal Hormones and Disorders (5 papers). The work is most often cited by research in Immunology (410 citations), Behavioral Neuroscience (50 citations) and Endocrinology, Diabetes and Metabolism (220 citations). Susan M. Viselli has collaborated with scholars based in United States. Frequent co-authors include William J. Kovacs, Nancy J. Olsen, Keith Shults, Fan Jin, Xiujing Gu, Gary E. Olson, Andrea M. Mastro, Stephen F. Stanziale, Balbina J. Plotkin and Michael K. Moore. Their work appears in journals such as Analytical Biochemistry, Endocrinology and Journal of Immunological Methods.

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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