Erin Burch

773 citations
14 papers · 569 · h-index 9

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Chromosomal and Genetic Variations
    • Plant Virus Research Studies

Papers in

Erin Burch

14 papers receiving 559 citations

Peers

Erin Burch
Comparison fields: 5 of 59
  • Immunology 241
  • Plant Science 191
  • Oncology 135
  • Radiology, Nuclear Medicine and Imaging 97
  • Hematology 45
Replace Jacqueline Fishman‐Lobell with:
Jacqueline Fishman‐Lobell United States
Evangelos Pefanis United States
Subhra Chaudhuri United States
Aribert Stief Germany
Jaime Chao United States
Dmitry Loukinov United States
Robert Wuerffel United States
N. Razavian United States
Jean-Philippe Gaudry Switzerland
Yabin Guo China
Erin Burch relative to Jacqueline Fishman‐Lobell United States Jacqueline Fishman‐Lobell's profile →
Citations per field
00.5×5.4×
Jacqueline Fishman‐Lobell · 1×
Citations per year

Countries citing papers authored by Erin Burch

Since Specialization
Citations

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

Fields of papers citing papers by Erin Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erin Burch. 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 Erin Burch. The network helps show where Erin Burch may publish in the future.

Co-authors

The 25 scholars most cited alongside Erin Burch, 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 Erin Burch Line = papers co-authored together Erin Burch links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2019227
2 200886
3 200954
4 201250
5 201941
6 200227
7 201924
8 201716
9 201316
10 20158
11 20137
12 20176
13 20145
14 20232

About Erin Burch

Erin Burch is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Hematology and Oncology, having authored 14 papers that have together received 569 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers), Platelet Disorders and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), Complement system in diseases (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Immunology (241 citations), Plant Science (191 citations), Oncology (135 citations), Radiology, Nuclear Medicine and Imaging (97 citations) and Hematology (45 citations). Erin Burch has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Scott E. Strome, Dan H. Schulze, Julie Green, James K. Roberts, Jamie McCuiston, Timothy Kelliher, Yuyan Chen, Yuejin Sun, Koji Tamada and Xiujuan Su. Their work appears in journals such as The Journal of Immunology, Blood, Immunobiology, Journal of Autoimmunity and European Journal of Cancer.

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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