Sarah E. May

435 citations
9 papers · 379 · h-index 7

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Multiple Myeloma Research and Treatments

Papers in

    • Chronic Lymphocytic Leukemia Research 3
    • Microplastics and Plastic Pollution 2

Sarah E. May

9 papers receiving 363 citations

Peers

Sarah E. May
Comparison fields: 5 of 67
  • Genetics 167
  • Hematology 71
  • Pathology and Forensic Medicine 103
  • Immunology 68
  • Pollution 24
Replace Cydney M. Nichols with:
Cydney M. Nichols United States
Attila Kiss Hungary
CR Chitambar United States
Xuehai Wang China
Ron‐Patrick Cadeddu Germany
Jiyun Zhang China
Satoki Karasawa Japan
Qiuling Ma China
Alexey O. Benyumov United States
Anna Desch Germany
Sarah E. May relative to Cydney M. Nichols United States Cydney M. Nichols's profile →
Citations per field
00.5×1.5×2.2×
Cydney M. Nichols · 1×
Citations per year

Countries citing papers authored by Sarah E. May

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2008130
2 2009104
3 201853
4 201929
5 201828
6 201415
7 202211
8 20085
9 20084

About Sarah E. May

Sarah E. May is a scholar working on Genetics, Pollution, Materials Chemistry, Pharmacology and Biomaterials, having authored 9 papers that have together received 379 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Microplastics and Plastic Pollution (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Genetics (167 citations), Hematology (71 citations), Pathology and Forensic Medicine (103 citations), Immunology (68 citations) and Pollution (24 citations). Sarah E. May has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Amy Jo Johnson, John C. Byrd, Cordula Hirsch, Peter Wick, Rosa Lapalombella, Amy Lehman, Leslie Ann Andritsos, Ching-Shih Chen, David G. Jarjoura and William G. Blum. Their work appears in journals such as Blood, Chemical Research in Toxicology, Colloids and Surfaces B Biointerfaces, ACS Chemical Biology and Journal of Clinical Oncology.

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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