Dawn Lin

507 citations
16 papers · 289 · h-index 7

Impact in

    • Cancer Genomics and Diagnostics
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Immunotherapy and Immune Responses 5
    • Immune cells in cancer 3
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Hematopoietic Stem Cell Transplantation 4
    • Acute Myeloid Leukemia Research 2

Dawn Lin

14 papers receiving 287 citations

Peers

Dawn Lin
Comparison fields: 5 of 71
  • Cancer Research 66
  • Immunology 62
  • Biophysics 16
  • Oncology 64
  • Hematology 27
Replace Hyun Ju Hwang with:
Hyun Ju Hwang South Korea
Christopher Egbulefu United States
Ying Kong China
Francesca Piaggio Italy
Mahdieh Shokrollahi Barough Iran
Katherine Chan Canada
Erika K. Ramos United States
Hongqian Guo China
Haifeng Shen China
Yucheng Xue China
Dawn Lin relative to Hyun Ju Hwang South Korea Hyun Ju Hwang's profile →
Citations per field
00.5×3.4×
Hyun Ju Hwang · 1×
Citations per year

Countries citing papers authored by Dawn Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dawn Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019109
2 201858
3 201828
4 202027
5 202124
6 202312
7 20238
8 20206
9 20255
10 20235
11 20234
12 20251
13 20241
14 20251
15 20240
16 20190

About Dawn Lin

Dawn Lin is a scholar working on Immunology, Hematology, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 289 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cancer Cells and Metastasis (3 papers), Immune cells in cancer (3 papers), Cancer Genomics and Diagnostics (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (66 citations), Immunology (62 citations), Biophysics (16 citations), Oncology (64 citations) and Hematology (27 citations). Dawn Lin has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Shalin H. Naik, Ali Tavakkoli, Jeffrey M. Karp, Jaring Schreuder, Tom Weber, Daniel Cameron, Philip D. Hodgkin, Anthony T. Papenfuss, Ton N. Schumacher and François Vaillant. Their work appears in journals such as Experimental Hematology, Cell Reports, Annals of Oncology, Advanced Functional Materials and Advanced Healthcare Materials.

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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