Jimmy Lin
- Oncology top 5%
- Molecular Biology top 10%
- Immunology top 5%
- Surgery top 5%
- Global and Planetary Change top 5%
- Co-authors
- Xiaoli HuangDina Demner‐FushmanHelen H. HobbsEric BoerwinkleCarolin LacknerGiulia ChiesaJared J. GartnerYardena Samuels
- Topics
- Cancer Genomics and Diagnostics (9 papers)Genomics and Rare Diseases (7 papers)Genomics and Phylogenetic Studies (3 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Jimmy Lin
33 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Oncology 870
- Molecular Biology 822
- Immunology 746
- Surgery 658
- Global and Planetary Change 507
Countries citing papers authored by Jimmy Lin
This map shows the geographic impact of Jimmy 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 Jimmy Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimmy Lin more than expected).
Fields of papers citing papers by Jimmy Lin
This network shows the impact of papers produced by Jimmy 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 Jimmy Lin. The network helps show where Jimmy Lin may publish in the future.
Co-authorship network of co-authors of Jimmy Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy Lin. A scholar is included among the top collaborators of Jimmy Lin 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 Jimmy Lin. Jimmy Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 12 | |
| 5 | 9 | |
| 6 | 32 | |
| 7 | 68 | |
| 8 | 29 | |
| 9 | 34 | |
| 10 | 3 | |
| 11 | 25 | |
| 12 | Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cellsbreakdown → | 806 |
| 13 | 25 | |
| 14 | 115 | |
| 15 | 78 | |
| 16 | 8 | |
| 17 | 5 | |
| 18 | Impacts of regional land use and land cover on rainfall : an overview | 10 |
| 19 | 126 | |
| 20 | Apolipoprotein(a) gene accounts for greater than 90% of the variation in plasma lipoprotein(a) concentrations.breakdown → | 773 |
About Jimmy Lin
Jimmy Lin is a scholar working on Cancer Research, General Social Sciences and Communication, having authored 36 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Genomics and Rare Diseases (7 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Immunology (746 citations), Oncology (870 citations) and Cancer Research (457 citations). Jimmy Lin has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Xiaoli Huang, Dina Demner‐Fushman, Helen H. Hobbs, Eric Boerwinkle, Carolin Lackner, Giulia Chiesa, Jared J. Gartner, Yardena Samuels, Steven A. Rosenberg and Jamie K. Teer. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and Nature Genetics.
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.