Matthew Lin

3.1k citations
10 papers · 953 · 1 hit paper · h-index 6

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Pancreatic and Hepatic Oncology Research 2
    • Immunotherapy and Immune Responses 2

Matthew Lin

10 papers receiving 944 citations

Matthew Lin's Hit Papers

Cancer vaccines: the next immunotherapy frontier 2022 · 595 citations
5950+1+2Years since publication100200300400500

Peers

Matthew Lin
Comparison fields: 5 of 70
  • Immunology 510
  • Oncology 367
  • Biomaterials 101
  • Biomedical Engineering 286
  • Biotechnology 53
Replace Amani Makkouk with:
Amani Makkouk United States
Aslan Mansurov United States
Karthik Tiruthani United States
Laura Jeanbart Switzerland
Adam N.R. Cartwright United States
Iraklis C. Kourtis Switzerland
May Tun Saung United States
Shengjie Chai United States
Miguel C. Sobral United States
Naveen K. Mehta United States
Matthew Lin relative to Amani Makkouk United States Amani Makkouk's profile →
Citations per field
00.5×4.1×
Amani Makkouk · 1×
Citations per year

Countries citing papers authored by Matthew Lin

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Cancer vaccines: the next immunotherapy frontier
Hit paper breakdown →
2022595
2 2021133
3 2021109
4 202167
5 202130
6 20237
7 20185
8 20214
9 20252
10 20171

About Matthew Lin

Matthew Lin is a scholar working on Oncology, Immunology, Biomedical Engineering, Molecular Biology and Biomaterials, having authored 10 papers that have together received 953 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Immunotherapy and Immune Responses (2 papers), Biochemical Acid Research Studies (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Pain Management and Treatment (1 paper) and Graphene and Nanomaterials Applications (1 paper). The work is most often cited by research in Immunology (510 citations), Oncology (367 citations), Biomaterials (101 citations), Biomedical Engineering (286 citations) and Biotechnology (53 citations). Matthew Lin has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Joshua Brody, Brian D. Brown, Judit Svensson‐Arvelund, Aurélien Marabelle, Gabrielle S. Lubitz, Ignacio Melero, Huan Meng, Jinhong Jiang, Emily Zheng and Xiangsheng Liu. Their work appears in journals such as Small, Advanced Science, The FASEB Journal, Nature Cancer and Cancer Discovery.

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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