Ayaka Hulbert

743 citations
15 papers · 624 · h-index 12

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis
  • Epidemiology top 10%
    • Cervical Cancer and HPV Research

Papers in

    • Cervical Cancer and HPV Research 11
    • Cancer Immunotherapy and Biomarkers 3
    • Pancreatic and Hepatic Oncology Research 2
    • CAR-T cell therapy research 1

Ayaka Hulbert

15 papers receiving 617 citations

Peers

Ayaka Hulbert
Comparison fields: 5 of 30
  • Oncology 326
  • Epidemiology 215
  • Immunology 113
  • Otorhinolaryngology 6
  • Cancer Research 9
Replace Vijayendra Dasari with:
Vijayendra Dasari Australia
Bas D. Koster Netherlands
James C. Romero-Masters United States
Yasmin Yu Sweden
Beny Shapiro Israel
Chato Taher Sweden
Jana Bieblová Czechia
Robert Weth Germany
Shaun Bulsara United States
Christopher T. Haley United States
Ayaka Hulbert relative to Vijayendra Dasari Australia Vijayendra Dasari's profile →
Citations per field
00.5×2×2.7×
Vijayendra Dasari · 1×
Citations per year

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-authors

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

All Works

15 of 15 papers shown
#Work
1 2015170
2 2017169
3 201953
4 201445
5 201733
6 201230
7 201120
8 201219
9 201619
10 201517
11 201515
12 201012
13 202211
14 20156
15 20155

About Ayaka Hulbert

Ayaka Hulbert is a scholar working on Epidemiology, Oncology, Immunology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 15 papers that have together received 624 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (11 papers), Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Immunotherapy and Immune Responses (1 paper), Immune cells in cancer (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Oncology (326 citations), Epidemiology (215 citations), Immunology (113 citations), Otorhinolaryngology (6 citations) and Cancer Research (9 citations). Ayaka Hulbert has collaborated with scholars based in United States, China and Ecuador. Frequent co-authors include Ingunn M. Stromnes, Sunil R. Hingorani, Philip D. Greenberg, Robert Hamilton Pierce, Long Fu Xi, Laura A. Koutsky, J. Scott Brockenbrough, Nancy B. Kiviat, MARK H. SCHIFFMAN and Zhenping Shen. Their work appears in journals such as International Journal of Cancer, Cancer Immunology Research, PLoS ONE, Sexually Transmitted Diseases and JNCI Journal of the National Cancer Institute.

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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