Sarah E. Ackerman

988 total citations
9 papers, 558 citations indexed

About

Sarah E. Ackerman is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Sarah E. Ackerman has authored 9 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology. Recurrent topics in Sarah E. Ackerman's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Cells and Metastasis (1 paper) and RNA modifications and cancer (1 paper). Sarah E. Ackerman is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Cells and Metastasis (1 paper) and RNA modifications and cancer (1 paper). Sarah E. Ackerman collaborates with scholars based in United States and United Kingdom. Sarah E. Ackerman's co-authors include Paul Cohen, François Marchildon, Lily L. Nguyen, Jingyi Chi, Zhuhao Wu, Marc Tessier‐Lavigne, Chan Hee J. Choi, Audrey Crane, Qiao Wang and Alexander D. Gitlin and has published in prestigious journals such as The Journal of Immunology, Cell Metabolism and Nature Protocols.

In The Last Decade

Sarah E. Ackerman

9 papers receiving 542 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarah E. Ackerman United States 8 171 164 151 129 76 9 558
Barbara Fegley United States 9 87 0.5× 147 0.9× 179 1.2× 131 1.0× 118 1.6× 12 691
Takehiko Inoue Japan 14 172 1.0× 103 0.6× 258 1.7× 42 0.3× 28 0.4× 36 609
Joann M. Taylor United States 14 48 0.3× 212 1.3× 97 0.6× 68 0.5× 29 0.4× 28 576
Leen Puimège Belgium 12 45 0.3× 64 0.4× 215 1.4× 206 1.6× 100 1.3× 16 602
Fabrizia Ferracin Switzerland 18 76 0.4× 113 0.7× 232 1.5× 231 1.8× 24 0.3× 26 781
Başak Kayhan Türkiye 14 37 0.2× 129 0.8× 161 1.1× 190 1.5× 69 0.9× 28 659
Luis León Chile 15 71 0.4× 140 0.9× 268 1.8× 392 3.0× 36 0.5× 21 843
Arpita Bharadwaj United States 14 82 0.5× 68 0.4× 293 1.9× 146 1.1× 22 0.3× 20 678
Peter Kaastrup Denmark 10 87 0.5× 92 0.6× 302 2.0× 115 0.9× 35 0.5× 14 931
M Hoffman United States 10 88 0.5× 64 0.4× 300 2.0× 132 1.0× 35 0.5× 20 619

Countries citing papers authored by Sarah E. Ackerman

Since Specialization
Citations

This map shows the geographic impact of Sarah E. Ackerman'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. Ackerman 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. Ackerman more than expected).

Fields of papers citing papers by Sarah E. Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah E. Ackerman

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Ackerman. A scholar is included among the top collaborators of Sarah E. Ackerman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah E. Ackerman. Sarah E. Ackerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bennett, Paula V., et al.. (2021). Dose-Rate Effects of Protons and Light Ions for DNA Damage Induction, Survival and Transformation in Apparently Normal Primary Human Fibroblasts. Radiation Research. 197(3). 298–313. 5 indexed citations
2.
Chi, Jingyi, Zhuhao Wu, Chan Hee J. Choi, et al.. (2018). Three-Dimensional Adipose Tissue Imaging Reveals Regional Variation in Beige Fat Biogenesis and PRDM16-Dependent Sympathetic Neurite Density. Cell Metabolism. 27(1). 226–236.e3. 189 indexed citations
3.
Ackerman, Sarah E., et al.. (2017). Insights into the Link Between Obesity and Cancer. Current Obesity Reports. 6(2). 195–203. 83 indexed citations
4.
O’Rourke, Kevin P., Sarah E. Ackerman, Lukas E. Dow, & Scott W. Lowe. (2016). Isolation, Culture, and Maintenance of Mouse Intestinal Stem Cells. BIO-PROTOCOL. 6(4). 48 indexed citations
5.
Boehmer, Lotta von, Cassie Liu, Sarah E. Ackerman, et al.. (2016). Sequencing and cloning of antigen-specific antibodies from mouse memory B cells. Nature Protocols. 11(10). 1908–1923. 111 indexed citations
6.
Militello, Kevin T., et al.. (2014). A map of 5-methylcytosine residues in Trypanosoma brucei tRNA revealed by sodium bisulfite sequencing. Molecular and Biochemical Parasitology. 193(2). 122–126. 14 indexed citations
7.
Ackerman, Sarah E., et al.. (1996). Rheumatoid factor idiotypic and antigenic specificity is strongly influenced by the light chain VJ junction. The Journal of Immunology. 156(9). 3570–3575. 9 indexed citations
8.
Selvaggi, Kathy, Elizabeth A. Saria, R H Schwartz, et al.. (1993). Phase I/II Study of Murine Monoclonal Antibody-Ricin A Chain (XOMAZYME-Mel) Immunoconjugate plus Cyclosporine A in Patients with Metastatic Melanoma. Journal of Immunotherapy. 13(3). 201–207. 42 indexed citations
9.
O'Keefe, E A, Sarah E. Ackerman, Johan Louw, et al.. (1986). The epidemiology of inflammatory bowel disease in Cape Town 1980-1984.. PubMed. 70(1). 10–5. 57 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026