Skylar Woolman

629 total citations
8 papers, 491 citations indexed

About

Skylar Woolman is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Skylar Woolman has authored 8 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Skylar Woolman's work include Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (4 papers) and Immune cells in cancer (2 papers). Skylar Woolman is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (4 papers) and Immune cells in cancer (2 papers). Skylar Woolman collaborates with scholars based in United States. Skylar Woolman's co-authors include Elizabeth M. Jaffee, Kayla Cruz, Todd D. Armstrong, Alexander C. Hopkins, Evanthia T. Roussos Torres, Blake Scott, Brian J. Christmas, S. Hayley, Mark Yarchoan and Neeha Zaidi and has published in prestigious journals such as Cancer Research, Genome biology and Cancer Immunology Research.

In The Last Decade

Skylar Woolman

8 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Skylar Woolman United States	6	342	317	156	51	30	8	491
Kayla Cruz United States	7	353 1.0×	320 1.0×	161 1.0×	58 1.1×	32 1.1×	12	506
Hila Razon Israel	4	207 0.6×	314 1.0×	90 0.6×	30 0.6×	24 0.8×	7	415
Praveen D. Chatani United States	5	194 0.6×	241 0.8×	214 1.4×	28 0.5×	15 0.5×	11	382
Ben Wylie Australia	11	167 0.5×	261 0.8×	101 0.6×	36 0.7×	39 1.3×	18	379
Emily F. Higgs United States	7	336 1.0×	421 1.3×	207 1.3×	52 1.0×	52 1.7×	15	619
Sreevani Arisa United States	6	206 0.6×	196 0.6×	164 1.1×	20 0.4×	39 1.3×	11	387
Aditi Kothari United States	5	346 1.0×	258 0.8×	237 1.5×	52 1.0×	58 1.9×	10	523
Nao Fujieda Japan	9	242 0.7×	292 0.9×	74 0.5×	28 0.5×	17 0.6×	12	406
Rose Al Abosy United States	5	226 0.7×	239 0.8×	145 0.9×	39 0.8×	24 0.8×	8	413
Rebecca C. Obeng United States	8	331 1.0×	298 0.9×	138 0.9×	50 1.0×	34 1.1×	19	508

Countries citing papers authored by Skylar Woolman

Since Specialization

Citations

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

Fields of papers citing papers by Skylar Woolman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Skylar Woolman

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

All Works

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8 of 8 papers shown

Dennison, Lauren, Aditya Mohan, James M. Leatherman, et al.. (2021). Context-Dependent Immunomodulatory Effects of MEK Inhibition Are Enhanced with T-cell Agonist Therapy. Cancer Immunology Research. 9(10). 1187–1201. 17 indexed citations

Ho, Won Jin, Rossin Erbe, Ludmila Danilova, et al.. (2021). Multi-omic profiling of lung and liver tumor microenvironments of metastatic pancreatic cancer reveals site-specific immune regulatory pathways. Genome biology. 22(1). 154–154. 50 indexed citations

Jang, Julie K., Christine I. Rafie, Brian J. Christmas, et al.. (2021). Abstract 2730: Breast pulmonary metastases and associated myeloid derived suppressor cells are resistant to the effects of entinostat with checkpoint inhibitor in a murine tumor model. Cancer Research. 81(13_Supplement). 2730–2730. 1 indexed citations

Yarchoan, Mark, Won Jin Ho, Aditya Mohan, et al.. (2020). Effects of B cell–activating factor on tumor immunity. JCI Insight. 5(10). 33 indexed citations

Hayley, S., Evanthia T. Roussos Torres, John-William Sidhom, et al.. (2019). A CD40 Agonist and PD-1 Antagonist Antibody Reprogram the Microenvironment of Nonimmunogenic Tumors to Allow T-cell–Mediated Anticancer Activity. Cancer Immunology Research. 7(3). 428–442. 94 indexed citations

Hopkins, Alexander C., Eric R. Lutz, Annie A. Wu, et al.. (2018). Combining STING-based neoantigen-targeted vaccine with checkpoint modulators enhances antitumor immunity in murine pancreatic cancer. JCI Insight. 3(20). 132 indexed citations

Christmas, Brian J., Christine I. Rafie, Alexander C. Hopkins, et al.. (2018). Entinostat Converts Immune-Resistant Breast and Pancreatic Cancers into Checkpoint-Responsive Tumors by Reprogramming Tumor-Infiltrating MDSCs. Cancer Immunology Research. 6(12). 1561–1577. 161 indexed citations

Hayley, S., Evanthia T. Roussos Torres, Tara M. Robinson, et al.. (2018). Abstract 4936: Combination CD40 agonist and PD-1 antagonist antibody therapy enhances vaccine induced T cell responses in non-immunogenic cancers. Cancer Research. 78(13_Supplement). 4936–4936. 3 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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