Sarah Swerdlow

521 citations
10 papers · 391 · h-index 6

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Cell death mechanisms and regulation 2
    • DNA Repair Mechanisms 1
    • Protein Degradation and Inhibitors 1
    • Autophagy in Disease and Therapy 3

Sarah Swerdlow

10 papers receiving 386 citations

Peers

Sarah Swerdlow
Comparison fields: 5 of 62
  • Hematology 184
  • Genetics 100
  • Rheumatology 59
  • Physiology 12
  • Cancer Research 34
Replace Giuseppina Fugazza with:
Giuseppina Fugazza Italy
Judit Várkonyi Hungary
Soumen Chakraborty India
Iris Appelmann Germany
L.R. Silverman United States
Marisa Pautasso Italy
Marta Gómez Spain
Mansi Shah United States
Ashwini Yenamandra United States
Rana Baraz Australia
Sarah Swerdlow relative to Giuseppina Fugazza Italy Giuseppina Fugazza's profile →
Citations per field
00.5×1.7×
Giuseppina Fugazza · 1×
Citations per year

Countries citing papers authored by Sarah Swerdlow

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Swerdlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Sarah Swerdlow, 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 Sarah Swerdlow Line = papers co-authored together Sarah Swerdlow links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006216
2 201172
3 200848
4 200732
5 20148
6 20247
7 20054
8 20112
9 20041
10 20211

About Sarah Swerdlow

Sarah Swerdlow is a scholar working on Molecular Biology, Epidemiology, Genetics, Hematology and Cell Biology, having authored 10 papers that have together received 391 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Autophagy in Disease and Therapy (3 papers), Cell death mechanisms and regulation (2 papers), Virus-based gene therapy research (1 paper), DNA Repair Mechanisms (1 paper), Immunotherapy and Immune Responses (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (184 citations), Genetics (100 citations), Rheumatology (59 citations), Physiology (12 citations) and Cancer Research (34 citations). Sarah Swerdlow has collaborated with scholars based in United States. Frequent co-authors include Roberto Weinmann, Shaoguang Li, Theodore M. Duffy, Francis Y. Lee, Yiguo Hu, Clark Distelhorst, Minh Lam, Karen McColl, Terri H. Finkel and Mieko Matsuyama. Their work appears in journals such as Journal of Biological Chemistry, Blood, Developmental Cell, Molecular Cell and Proceedings of the National Academy of Sciences.

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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