Tyler J. Goodwin

1.8k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

Tyler J. Goodwin is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Tyler J. Goodwin has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Oncology. Recurrent topics in Tyler J. Goodwin's work include Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Nanoplatforms for cancer theranostics (3 papers). Tyler J. Goodwin is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Nanoplatforms for cancer theranostics (3 papers). Tyler J. Goodwin collaborates with scholars based in United States, China and Hong Kong. Tyler J. Goodwin's co-authors include Leaf Huang, Rihe Liu, Limei Shen, Lei Miao, Wantong Song, Jun Li, Qi Liu, Kaili Hu, Manisit Das and Jingjing Li and has published in prestigious journals such as Nature Communications, ACS Nano and The Journal of Immunology.

In The Last Decade

Tyler J. Goodwin

16 papers receiving 1.4k citations

Hit Papers

Synergistic and low adverse effect cancer immunotherapy b... 2018 2026 2020 2023 2018 100 200 300

Peers

Tyler J. Goodwin
Comparison fields: 5 of 80
  • Immunology 634
  • Oncology 582
  • Biomedical Engineering 582
  • Molecular Biology 479
  • Biomaterials 356
Replace Binfan Chen with:
Binfan Chen China
Rita Mendes Portugal
Ling Yu China
Aihua Wu China
Wenwen Du China
Ling Bai China
Liteng Lin China
Cao Dai Phung South Korea
Xuejia Kang United States
Binfan Chen China View profile →
Citations per field, relative to Tyler J. Goodwin
Tyler J. Goodwin · 1×
Citations per year, relative to Tyler J. Goodwin
Tyler J. Goodwin · 1×

Countries citing papers authored by Tyler J. Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Tyler J. Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler J. Goodwin. 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 Tyler J. Goodwin. The network helps show where Tyler J. Goodwin may publish in the future.

Co-authorship network of co-authors of Tyler J. Goodwin

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 1
3
Synergistic and low adverse effect cancer immunotherapy by immunogenic chemotherapy and locally expressed PD-L1 trap breakdown →
345
4 77
5 102
6 168
7 50
8 62
9 246
10 4
11 117
12 158
13 13
14 71
15 30
16 6

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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