Yi Lin

38.5k total citations · 4 hit papers
299 papers, 9.1k citations indexed

About

Yi Lin is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Yi Lin has authored 299 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 159 papers in Oncology, 74 papers in Molecular Biology and 65 papers in Hematology. Recurrent topics in Yi Lin's work include CAR-T cell therapy research (134 papers), Multiple Myeloma Research and Treatments (56 papers) and Lymphoma Diagnosis and Treatment (33 papers). Yi Lin is often cited by papers focused on CAR-T cell therapy research (134 papers), Multiple Myeloma Research and Treatments (56 papers) and Lymphoma Diagnosis and Treatment (33 papers). Yi Lin collaborates with scholars based in United States, China and France. Yi Lin's co-authors include Anna Solovey, Robert P. Hebbel, Daniel J. Weisdorf, Allan B. Dietz, Sattva S. Neelapu, Frederick L. Locke, Michael P. Gustafson, Peggy A. Bulur, William G. Wierda and Partow Kebriaei and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Yi Lin

274 papers receiving 8.9k citations

Hit Papers

Chimeric antigen receptor... 1997 2026 2006 2016 2017 2000 1997 2022 500 1000 1.5k

Peers

Yi Lin
Comparison fields: 5 of 138
  • Oncology 4.9k
  • Molecular Biology 3.8k
  • Immunology 2.0k
  • Hematology 1.8k
  • Genetics 1.3k
Replace Julie R. Park with:
Julie R. Park United States
Torsten Tonn Germany
Catriona Jamieson United States
Carmelo Carlo‐Stella Italy
Pablo Menéndez Spain
Jane L. Liesveld United States
Ulrich Dührsen Germany
Steven M. Devine United States
Josef Vormoor Germany
Ivan Borrello United States
Julie R. Park United States View profile →
Citations per field, relative to Yi Lin
Yi Lin · 1×
Citations per year, relative to Yi Lin
Yi Lin · 1×

Countries citing papers authored by Yi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Lin. A scholar is included among the top collaborators of Yi 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 Yi Lin. Yi Lin 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
# Work Indexed citations
1 0
2 0
3 0
4 2
5 0
6 4
7 10
8 9
9 8
10 1
11 17
12 13
13 2
14 5
15 5
16 1
17 2
18 38
19 22
20 120

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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