Sally Agersborg

762 citations
36 papers · 612 · h-index 15

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Reproductive System and Pregnancy
    • HER2/EGFR in Cancer Research

Papers in

Sally Agersborg

35 papers receiving 600 citations

Peers

Sally Agersborg
Comparison fields: 5 of 70
  • Immunology 283
  • Oncology 167
  • Cancer Research 87
  • Biophysics 28
  • Gastroenterology 20
Replace Karima Mrad with:
Karima Mrad Tunisia
Silvia Behnke Switzerland
Sari Koskenmies Finland
A Fabiano Italy
Magdalena Matusiak United States
Amy Ly United States
Ángel Pizarro Spain
Jeffrey Peacock United States
Luke S. Manlove United States
Zoltán Szentirmay Hungary
Sally Agersborg relative to Karima Mrad Tunisia Karima Mrad's profile →
Citations per field
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Karima Mrad · 1×
Citations per year

Countries citing papers authored by Sally Agersborg

Since Specialization
Citations

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

Fields of papers citing papers by Sally Agersborg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199692
2 200068
3 200042
4 201841
5 200134
6 200133
7 201133
8 201832
9 200132
10 199623
11 201122
12 201119
13 201717
14 201115
15 201215
16 201114
17 201111
18 20169
19 20179
20 20028

About Sally Agersborg

Sally Agersborg is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 612 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), HER2/EGFR in Cancer Research (4 papers), AI in cancer detection (4 papers), T-cell and B-cell Immunology (4 papers), Lung Cancer Treatments and Mutations (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Breast Cancer Treatment Studies (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Immunology (283 citations), Oncology (167 citations), Cancer Research (87 citations), Biophysics (28 citations) and Gastroenterology (20 citations). Sally Agersborg has collaborated with scholars based in United States, Italy and Croatia. Frequent co-authors include Kenneth S. K. Tung, Kristine M. Garza, Maher Albitar, Pascale Alard, Elizabeth Baker, J A Ledbetter, Randolph J. Noelle, P S Linsley, Wanlong Ma and Vincent Funari. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology, Blood, Archives of Pathology & Laboratory Medicine and Applied immunohistochemistry & molecular morphology.

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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