Ayaka Hulbert

711 total citations
15 papers, 567 citations indexed

About

Ayaka Hulbert is a scholar working on Epidemiology, Surgery and Oncology. According to data from OpenAlex, Ayaka Hulbert has authored 15 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 7 papers in Surgery and 5 papers in Oncology. Recurrent topics in Ayaka Hulbert's work include Cervical Cancer and HPV Research (11 papers), Genital Health and Disease (7 papers) and CAR-T cell therapy research (4 papers). Ayaka Hulbert is often cited by papers focused on Cervical Cancer and HPV Research (11 papers), Genital Health and Disease (7 papers) and CAR-T cell therapy research (4 papers). Ayaka Hulbert collaborates with scholars based in United States, China and South Africa. Ayaka Hulbert's co-authors include Philip D. Greenberg, Ingunn M. Stromnes, Sunil R. Hingorani, Robert H. Pierce, Long Fu Xi, Laura A. Koutsky, Nancy B. Kiviat, J. Scott Brockenbrough, Mark Schiffman and Carlos Cuevas and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Cancer Cell.

In The Last Decade

Ayaka Hulbert

15 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ayaka Hulbert United States	12	342	227	214	102	87	15	567
Ferdynand Kos United States	12	241 0.7×	501 2.2×	227 1.1×	158 1.5×	43 0.5×	15	725
Tetje C. van der Sluis Netherlands	12	467 1.4×	609 2.7×	112 0.5×	196 1.9×	38 0.4×	16	815
María de Lourdes Mora‐García Mexico	14	179 0.5×	216 1.0×	134 0.6×	202 2.0×	27 0.3×	29	525
Alfredo Amador-Molina Mexico	8	108 0.3×	104 0.5×	139 0.6×	77 0.8×	28 0.3×	14	307
Sonia Domingos‐Pereira Switzerland	12	128 0.4×	361 1.6×	90 0.4×	150 1.5×	184 2.1×	25	521
Linda F. M. Stynenbosch Netherlands	6	230 0.7×	388 1.7×	143 0.7×	141 1.4×	36 0.4×	6	472
Susan Glew United Kingdom	9	211 0.6×	514 2.3×	180 0.8×	98 1.0×	53 0.6×	13	678
Sarah R. Helman United States	6	435 1.3×	345 1.5×	52 0.2×	165 1.6×	44 0.5×	6	619
Sören Reinke United Kingdom	7	101 0.3×	248 1.1×	50 0.2×	188 1.8×	29 0.3×	11	443
Jana Šímová Czechia	15	269 0.8×	533 2.3×	109 0.5×	231 2.3×	14 0.2×	63	723

Countries citing papers authored by Ayaka Hulbert

Since Specialization

Citations

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

Fields of papers citing papers by Ayaka Hulbert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayaka Hulbert

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

All Works

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15 of 15 papers shown

Stromnes, Ingunn M., Ayaka Hulbert, Ryan Basom, et al.. (2022). Insufficiency of compound immune checkpoint blockade to overcome engineered T cell exhaustion in pancreatic cancer. Journal for ImmunoTherapy of Cancer. 10(2). e003525–e003525. 10 indexed citations

Stromnes, Ingunn M., Adam L. Burrack, Ayaka Hulbert, et al.. (2019). Differential Effects of Depleting versus Programming Tumor-Associated Macrophages on Engineered T Cells in Pancreatic Ductal Adenocarcinoma. Cancer Immunology Research. 7(6). 977–989. 52 indexed citations

Stromnes, Ingunn M., Ayaka Hulbert, Robert H. Pierce, Philip D. Greenberg, & Sunil R. Hingorani. (2017). T-cell Localization, Activation, and Clonal Expansion in Human Pancreatic Ductal Adenocarcinoma. Cancer Immunology Research. 5(11). 978–991. 148 indexed citations

Xi, Long Fu, Mark Schiffman, Yang Ke, et al.. (2017). Type‐dependent association between risk of cervical intraepithelial neoplasia and viral load of oncogenic human papillomavirus types other than types 16 and 18. International Journal of Cancer. 140(8). 1747–1756. 31 indexed citations

Xi, Long Fu, Mark Schiffman, Laura A. Koutsky, et al.. (2016). Variant‐specific persistence of infections with human papillomavirus Types 31, 33, 45, 56 and 58 and risk of cervical intraepithelial neoplasia. International Journal of Cancer. 139(5). 1098–1105. 17 indexed citations

Stromnes, Ingunn M., Thomas M. Schmitt, Ayaka Hulbert, et al.. (2015). T Cells Engineered against a Native Antigen Can Surmount Immunologic and Physical Barriers to Treat Pancreatic Ductal Adenocarcinoma. Cancer Cell. 28(5). 638–652. 151 indexed citations

Fu, Tsung‐chieh, James P. Hughes, Qinghua Feng, et al.. (2015). Epidemiology of Human Papillomavirus Detected in the Oral Cavity and Fingernails of Mid-Adult Women. Sexually Transmitted Diseases. 42(12). 677–685. 17 indexed citations

Fu, Tsung‐chieh, Long Fu Xi, Ayaka Hulbert, et al.. (2015). Short‐term natural history of high‐risk human papillomavirus infection in mid‐adult women sampled monthly. International Journal of Cancer. 137(10). 2432–2442. 11 indexed citations

Shen, Zhenping, Xia Liu, Janice Morihara, et al.. (2015). Detection of Human Papillomavirus Infections at the Single-Cell Level. Intervirology. 58(5). 324–331. 7 indexed citations

10.

Liu, Xia, Mark Schiffman, Ayaka Hulbert, et al.. (2015). Association of Human Papillomavirus 31 DNA Load with Risk of Cervical Intraepithelial Neoplasia Grades 2 and 3. Journal of Clinical Microbiology. 53(11). 3451–3457. 3 indexed citations

11.

Xi, Long Fu, Mark Schiffman, Laura A. Koutsky, et al.. (2014). Lineages of Oncogenic Human Papillomavirus Types Other Than Type 16 and 18 and Risk for Cervical Intraepithelial Neoplasia. JNCI Journal of the National Cancer Institute. 106(10). 43 indexed citations

12.

Xi, Long Fu, Mark Schiffman, Laura A. Koutsky, et al.. (2012). Persistence of newly detected human papillomavirus type 31 infection, stratified by variant lineage. International Journal of Cancer. 132(3). 549–555. 19 indexed citations

13.

Xi, Long Fu, Mark Schiffman, Laura A. Koutsky, et al.. (2012). Association of human papillomavirus type 31 variants with risk of cervical intraepithelial neoplasia grades 2–3. International Journal of Cancer. 131(10). 2300–2307. 28 indexed citations

14.

Xi, Long Fu, Mingjun Jiang, Zhenping Shen, et al.. (2011). Inverse Association between Methylation of Human Papillomavirus Type 16 DNA and Risk of Cervical Intraepithelial Neoplasia Grades 2 or 3. PLoS ONE. 6(8). e23897–e23897. 19 indexed citations

15.

Xi, Long Fu, Laura A. Koutsky, Philip E. Castle, et al.. (2010). Human Papillomavirus Type 16 Variants in Paired Enrollment and Follow‐up Cervical Samples: Implications for a Proper Understanding of Type‐Specific Persistent Infections. The Journal of Infectious Diseases. 202(11). 1667–1670. 11 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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