Phillip M. Galbo

1.9k citations
29 papers · 960 indexed · 1 hit paper · h-index 17
Topics
Immune Cell Function and Interaction (4 papers)Immunotherapy and Immune Responses (4 papers)T-cell and B-cell Immunology (4 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Phillip M. Galbo

28 papers receiving 955 citations

Hit Papers

Molecular Features of Cancer-associated Fibroblast Subtyp...2021202620222024202150100150200

Peers

Phillip M. Galbo
Comparison fields: 5 of 97
  • Molecular Biology 392
  • Oncology 325
  • Immunology 271
  • Cancer Research 165
  • Infectious Diseases 149
Replace William Weber with:
William Weber United States
Guanxin Shen China
Wendy K. Nevala United States
P. Markus Deckert Germany
Jennifer L. Hope United States
Fei Kuang China
Beth Isaac United States
Luisa Albano Italy
Anna Fialová Czechia
Qingfeng Chen Singapore
Phillip M. Galbo relative to William Weber United States William Weber's profile →
Citations per field
00.5×11.2×
William Weber · 1×
Citations per year

Countries citing papers authored by Phillip M. Galbo

Since Specialization
Citations

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

Fields of papers citing papers by Phillip M. Galbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip M. Galbo. 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 Phillip M. Galbo. The network helps show where Phillip M. Galbo may publish in the future.

Co-authorship network of co-authors of Phillip M. Galbo

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip M. Galbo. A scholar is included among the top collaborators of Phillip M. Galbo 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 Phillip M. Galbo. Phillip M. Galbo 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
#WorkIndexed citations
1 2
2 4
3 2
4 32
5 8
6 40
7 7
8 35
9 4
10 20
11 6
12 25
13
Molecular Features of Cancer-associated Fibroblast Subtypes and their Implication on Cancer Pathogenesis, Prognosis, and Immunotherapy Resistancebreakdown →
225
14 16
15 65
16 15
17 28
18 26
19 4
20 35

About Phillip M. Galbo

Phillip M. Galbo is a scholar working on Immunology, Cancer Research and Hematology, having authored 29 papers that have together received 960 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (271 citations), Oncology (325 citations) and Cancer Research (165 citations). Phillip M. Galbo has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Deyou Zheng, Xingxing Zang, Frederick L. Altice, Liana Fraenkel, Alex Dubov, Wei Yao, Robert A. Fenstermaker, Michael J. Ciesielski, Sheila Figel and Mou Peng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

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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