Shelley E. Ackerman

921 total citations · 1 hit paper
13 papers, 539 citations indexed

About

Shelley E. Ackerman is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Shelley E. Ackerman has authored 13 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Shelley E. Ackerman's work include Immunotherapy and Immune Responses (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Shelley E. Ackerman is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Shelley E. Ackerman collaborates with scholars based in United States, Singapore and Russia. Shelley E. Ackerman's co-authors include Tracey McLaughlin, Edgar G. Engleman, Lei Shen, Jennifer R. Cochran, Jimmy Kwang, Na Li, Nicolas Currier, Fang He, Bevin P. Engelward and Prashant Rai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Shelley E. Ackerman

11 papers receiving 531 citations

Hit Papers

Role of innate and adaptive immunity in obesity-associate... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shelley E. Ackerman United States 6 219 143 138 124 68 13 539
Hong Mu United States 11 203 0.9× 197 1.4× 159 1.2× 89 0.7× 145 2.1× 14 809
Yasuhiro Nozaki Japan 12 87 0.4× 137 1.0× 111 0.8× 192 1.5× 59 0.9× 28 685
Chrisna Durandt South Africa 15 173 0.8× 191 1.3× 92 0.7× 127 1.0× 75 1.1× 35 710
Philipp Müller Switzerland 5 111 0.5× 205 1.4× 131 0.9× 61 0.5× 13 0.2× 6 468
Anatol Panasiuk Poland 12 302 1.4× 78 0.5× 68 0.5× 38 0.3× 42 0.6× 47 565
Abdullateef A. Alzolibani Saudi Arabia 21 131 0.6× 159 1.1× 185 1.3× 72 0.6× 43 0.6× 57 976
Kyoko Takahashi Japan 15 71 0.3× 292 2.0× 162 1.2× 122 1.0× 46 0.7× 34 624
Yingfeng Wei China 14 160 0.7× 159 1.1× 146 1.1× 55 0.4× 55 0.8× 20 485
Keiko Kan‐o Japan 16 119 0.5× 146 1.0× 232 1.7× 185 1.5× 77 1.1× 42 685
Bing Wei China 19 218 1.0× 256 1.8× 134 1.0× 41 0.3× 103 1.5× 42 755

Countries citing papers authored by Shelley E. Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Shelley E. Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Shelley E. Ackerman. A scholar is included among the top collaborators of Shelley 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 Shelley E. Ackerman. Shelley E. Ackerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Dumbrava, Ecaterina E., Idoia Rodríguez, Mohamad A. Salkeni, et al.. (2025). Abstract CT154: BDC-3042, a first-in-class Dectin-2 agonist, in patients with advanced malignancies: Results from the first-in-human dose-escalation study. Cancer Research. 85(8_Supplement_2). CT154–CT154. 1 indexed citations
2.
Li, Jingjing, Cecelia I. Pearson, Karla A. Henning, et al.. (2025). Abstract 7339: A highly efficacious next-generation CEACAM5 (CEA)-targeted Boltbody™ ISAC for the treatment of colorectal, pancreatic and lung tumors. Cancer Research. 85(8_Supplement_1). 7339–7339.
3.
Kenkel, Justin A., Po Y. Ho, Jason Ptacek, et al.. (2023). Abstract 2964: Targeting tumor-associated macrophages to enhance anti-tumor immunity with the Dectin-2 agonistic antibody BDC-3042. Cancer Research. 83(7_Supplement). 2964–2964. 1 indexed citations
4.
Kenkel, Justin A., Po Y. Ho, Sameera Kongara, et al.. (2021). 862 Dectin-2, a novel target for tumor macrophage reprogramming in cancer immunotherapy. Regular and Young Investigator Award Abstracts. A903–A903.
5.
Leblanc, Heidi, Cecelia I. Pearson, Justin A. Kenkel, et al.. (2020). 605 Systemically administered HER2-targeted ISACs provoke a rapid, local response that engages the innate and adaptive arms of the immune system to eradicate tumors in preclinical models. SHILAP Revista de lepidopterología. A361–A362. 5 indexed citations
6.
Ackerman, Shelley E., Felix J. Hartmann, Cecelia I. Pearson, et al.. (2020). 603 Covalent attachment of a TLR7/8 agonist to tumor-targeting antibodies drives potent anti-tumor efficacy by synergistically activating FcgR- and TLR- signaling and enables safe systemic administration. SHILAP Revista de lepidopterología. A360.1–A360. 1 indexed citations
7.
Ackerman, Shelley E., Joseph C. González, Josh Gregorio, et al.. (2019). Abstract 1559: TLR7/8 immune-stimulating antibody conjugates elicit robust myeloid activation leading to enhanced effector function and anti-tumor immunity in pre-clinical models. Immunology. 1559–1559. 2 indexed citations
8.
Ackerman, Shelley E., Joseph C. González, Josh Gregorio, et al.. (2019). Abstract 1559: TLR7/8 immune-stimulating antibody conjugates elicit robust myeloid activation leading to enhanced effector function and anti-tumor immunity in pre-clinical models. Cancer Research. 79(13_Supplement). 1559–1559. 10 indexed citations
9.
McLaughlin, Tracey, Shelley E. Ackerman, Lei Shen, & Edgar G. Engleman. (2017). Role of innate and adaptive immunity in obesity-associated metabolic disease. Journal of Clinical Investigation. 127(1). 5–13. 346 indexed citations breakdown →
10.
Currier, Nicolas, Shelley E. Ackerman, James R. Kintzing, et al.. (2016). Targeted Drug Delivery with an Integrin-Binding Knottin–Fc–MMAF Conjugate Produced by Cell-Free Protein Synthesis. Molecular Cancer Therapeutics. 15(6). 1291–1300. 30 indexed citations
11.
Rai, Prashant, Na Li, Shelley E. Ackerman, et al.. (2015). Streptococcus pneumoniae secretes hydrogen peroxide leading to DNA damage and apoptosis in lung cells. Proceedings of the National Academy of Sciences. 112(26). E3421–30. 105 indexed citations
12.
Ackerman, Shelley E., Christy Wilson, Suzana Assad Kahn, et al.. (2014). A Bioengineered Peptide That Localizes To And Illuminates Medulloblastoma: A New Tool With Potential For Fluorescence-Guided Surgical Resection. Cureus. 6(9). 4 indexed citations
13.
Ackerman, Shelley E., Nicolas Currier, Jamie M. Bergen, & Jennifer R. Cochran. (2014). Cystine-knot peptides: emerging tools for cancer imaging and therapy. Expert Review of Proteomics. 11(5). 561–572. 34 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.

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