Alicia Hulbert

1.8k total citations
52 papers, 870 citations indexed

About

Alicia Hulbert is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Alicia Hulbert has authored 52 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 13 papers in Cancer Research. Recurrent topics in Alicia Hulbert's work include Epigenetics and DNA Methylation (14 papers), Cancer Genomics and Diagnostics (7 papers) and RNA modifications and cancer (7 papers). Alicia Hulbert is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), Cancer Genomics and Diagnostics (7 papers) and RNA modifications and cancer (7 papers). Alicia Hulbert collaborates with scholars based in United States, China and Japan. Alicia Hulbert's co-authors include Malcolm V. Brock, Chen Chen, James G. Herman, Stephen C. Yang, Fenglei Yu, Muyun Peng, Tza‐Huei Wang, Ignacio Jusué-Torres, Stephen B. Baylin and John Wrangle and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Alicia Hulbert

52 papers receiving 853 citations

Peers

Alicia Hulbert
Comparison fields: 5 of 102
  • Molecular Biology 371
  • Cancer Research 300
  • Pulmonary and Respiratory Medicine 287
  • Oncology 157
  • Surgery 137
Replace Fernando Franco with:
Fernando Franco Spain
Xinyuan Li China
Shiyou Wei China
Paweł Sobczuk Poland
Nikolaos Charalampakis Greece
Hong Jian China
Ali Dabaja United States
Xin Luo China
Elizabeth R. Kessler United States
Fernando Franco Spain View profile →
Citations per field, relative to Alicia Hulbert
Alicia Hulbert · 1×
Citations per year, relative to Alicia Hulbert
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Countries citing papers authored by Alicia Hulbert

Since Specialization
Citations

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

Fields of papers citing papers by Alicia Hulbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alicia Hulbert

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 3
3 1
4 9
5 3
6 12
7 1
8 6
9 1
10 13
11 15
12 198
13 18
14 28
15 65
16 25
17 52
18 3
19 13
20 26

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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