Bianca E. Teal

1.4k citations
14 papers · 605 · h-index 9

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 3
    • Autophagy in Disease and Therapy 4

Bianca E. Teal

12 papers receiving 599 citations

Peers

Bianca E. Teal
Comparison fields: 5 of 56
  • Immunology 437
  • Hematology 148
  • Transplantation 33
  • Hepatology 76
  • Epidemiology 125
Replace Giovanni A. M. Povoleri with:
Giovanni A. M. Povoleri United Kingdom
Shinji Sogo Japan
Julien Lion France
Alessandra Penatti Italy
L Horwitz United States
Masaaki Zaitsu Japan
Yuka Igarashi Japan
Katrin Baumann Finland
Evelyn Nieves United States
Christine Vogtenhuber United States
Bianca E. Teal relative to Giovanni A. M. Povoleri United Kingdom Giovanni A. M. Povoleri's profile →
Citations per field
00.5×6.9×
Giovanni A. M. Povoleri · 1×
Citations per year

Countries citing papers authored by Bianca E. Teal

Since Specialization
Citations

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

Fields of papers citing papers by Bianca E. Teal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bianca E. Teal. 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 Bianca E. Teal. The network helps show where Bianca E. Teal may publish in the future.

Co-authors

The 25 scholars most cited alongside Bianca E. Teal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bianca E. Teal Line = papers co-authored together Bianca E. Teal links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2016193
2 2012106
3 201390
4 201647
5 201339
6 201536
7 201435
8 201728
9 201626
10 20123
11 20131
12 20131
13 20240
14 20150

About Bianca E. Teal

Bianca E. Teal is a scholar working on Immunology, Epidemiology, Hematology, Genetics and Physiology, having authored 14 papers that have together received 605 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Autophagy in Disease and Therapy (4 papers), Immunotherapy and Immune Responses (3 papers), Mesenchymal stem cell research (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Immunology (437 citations), Hematology (148 citations), Transplantation (33 citations), Hepatology (76 citations) and Epidemiology (125 citations). Bianca E. Teal has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include Kelli P. A. MacDonald, Katie E. Lineburg, Geoffrey R. Hill, Rachel D. Kuns, Kate A. Markey, Motoko Koyama, Christian Engwerda, Andrew D. Clouston, Lucie Leveque and Neil C. Raffelt. Their work appears in journals such as Blood, The Journal of Immunology, Blood Advances, Journal of Hepatology and American Journal Of Pathology.

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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