Vanessa L. Bryant

4.4k citations
33 papers · 1.8k indexed · 1 hit paper · h-index 17
Topics
Immunodeficiency and Autoimmune Disorders (18 papers)Immune Cell Function and Interaction (11 papers)T-cell and B-cell Immunology (11 papers)

In The Last Decade

Vanessa L. Bryant

32 papers receiving 1.8k citations

Hit Papers

A single‐cell RNA expression atlas of normal, preneoplast...2021202620222024202150100150200

Peers

Vanessa L. Bryant
Comparison fields: 5 of 89
  • Immunology 1.3k
  • Molecular Biology 341
  • Oncology 314
  • Genetics 196
  • Epidemiology 187
Replace Claudia Bossen with:
Claudia Bossen United States
Amanda Light Australia
Julia I. Ellyard Australia
Laurence Ménard United States
Sandra Gardam Australia
Ivana M. Djuretic United States
Ryo Shinnakasu Japan
Michelle A. Hurchla United States
Birgit Knoechel United States
Shaun W. Jackson United States
Vanessa L. Bryant relative to Claudia Bossen United States Claudia Bossen's profile →
Citations per field
00.5×1.5×1.9×
Claudia Bossen · 1×
Citations per year

Countries citing papers authored by Vanessa L. Bryant

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa L. Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa L. Bryant. 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 Vanessa L. Bryant. The network helps show where Vanessa L. Bryant may publish in the future.

Co-authorship network of co-authors of Vanessa L. Bryant

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa L. Bryant. A scholar is included among the top collaborators of Vanessa L. Bryant 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 Vanessa L. Bryant. Vanessa L. Bryant 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 0
2 2
3 1
4 7
5 1
6 3
7 1
8 23
9 16
10 7
11
A single‐cell RNA expression atlas of normal, preneoplastic and tumorigenic states in the human breastbreakdown →
238
12 27
13 10
14 7
15 7
16 55
17 27
18 215
19 393
20 224

About Vanessa L. Bryant

Vanessa L. Bryant is a scholar working on Immunology, Biological Psychiatry and Gastroenterology, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (18 papers), Immune Cell Function and Interaction (11 papers) and T-cell and B-cell Immunology (11 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (314 citations) and Genetics (106 citations). Vanessa L. Bryant has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Stuart G. Tangye, Kim L. Good‐Jacobson, S. Cindy, Danielle T. Avery, René de Waal Malefyt, Lynn M. Corcoran, Ying Li, C Slade, Rohan Ameratunga and See‐Tarn Woon. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

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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