Kate Sasser

896 citations
43 papers · 530 · h-index 12

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism

Papers in

    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 4
    • Multiple Myeloma Research and Treatments 11
    • Acute Myeloid Leukemia Research 4

Kate Sasser

37 papers receiving 523 citations

Peers

Kate Sasser
Comparison fields: 5 of 57
  • Hematology 212
  • Physiology 61
  • Oncology 254
  • Immunology 167
  • Genetics 49
Replace Marielle Chiron with:
Marielle Chiron France
Homer Adams United States
Fabrizio Accardi Italy
Ifigènia Saborit-Villarroya Spain
Michael S. van der Veer Netherlands
Ivana Catacchio Italy
María Hernández‐Sánchez Spain
Margot Jak Netherlands
Lida Pacaud United States
Annemiek Broijl Netherlands
Kate Sasser relative to Marielle Chiron France Marielle Chiron's profile →
Citations per field
00.5×1.5×1.8×
Marielle Chiron · 1×
Citations per year

Countries citing papers authored by Kate Sasser

Since Specialization
Citations

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

Fields of papers citing papers by Kate Sasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 201488
3 201863
4 201327
5 202226
6 201620
7 201517
8 201516
9 201615
10 202115
11 201614
12 201412
13 202410
14 201510
15 20157
16 20147
17 20144
18 20144
19 20164
20 20203

About Kate Sasser

Kate Sasser is a scholar working on Oncology, Hematology, Radiology, Nuclear Medicine and Imaging, Immunology and Cancer Research, having authored 43 papers that have together received 530 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Multiple Myeloma Research and Treatments (11 papers), Cancer Genomics and Diagnostics (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Acute Myeloid Leukemia Research (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hematology (212 citations), Physiology (61 citations), Oncology (254 citations), Immunology (167 citations) and Genetics (49 citations). Kate Sasser has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Parul Doshi, Lanxi Song, Matthew A. Smith, Eric B. Haura, William J. Fulp, Soner Altiok, Sanne Hiddingh, Jeroen Lammerts van Bueren, Christopher Chiu and Marleen Voorhorst. Their work appears in journals such as Blood, Cancer Research, Journal of Clinical Oncology, Breast Cancer Targets and Therapy and OncoImmunology.

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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