Eric Lin

644 total citations
9 papers, 526 citations indexed

About

Eric Lin is a scholar working on Oncology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Eric Lin has authored 9 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Cancer Research and 5 papers in Biomedical Engineering. Recurrent topics in Eric Lin's work include Cancer Cells and Metastasis (8 papers), Cancer Genomics and Diagnostics (5 papers) and 3D Printing in Biomedical Research (5 papers). Eric Lin is often cited by papers focused on Cancer Cells and Metastasis (8 papers), Cancer Genomics and Diagnostics (5 papers) and 3D Printing in Biomedical Research (5 papers). Eric Lin collaborates with scholars based in United States, China and Germany. Eric Lin's co-authors include Sunitha Nagrath, Max S. Wicha, Michael R. King, Monika L. Burness, Yu‐Chih Chen, Euisik Yoon, Saswat Sahoo, Riley Brien, Seungwon Jung and Wonchoel Lee and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Eric Lin

9 papers receiving 524 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eric Lin United States	7	306	252	214	180	58	9	526
Luis Enrique Cortés‐Hernández France	12	323 1.1×	122 0.5×	250 1.2×	187 1.0×	82 1.4×	18	514
Elodie Sollier‐Christen United States	7	273 0.9×	269 1.1×	207 1.0×	174 1.0×	56 1.0×	10	522
Rekha Gyanchandani United States	10	204 0.7×	153 0.6×	164 0.8×	210 1.2×	108 1.9×	11	524
Julie Trautwein United States	3	385 1.3×	484 1.9×	273 1.3×	155 0.9×	168 2.9×	3	812
Fabio Del Ben Italy	10	240 0.8×	185 0.7×	175 0.8×	153 0.8×	70 1.2×	35	522
Hyunju Han South Korea	8	366 1.2×	473 1.9×	198 0.9×	147 0.8×	59 1.0×	10	764
Hongping Zheng China	8	210 0.7×	60 0.2×	175 0.8×	236 1.3×	84 1.4×	13	485
Steven M. Santana United States	10	396 1.3×	360 1.4×	266 1.2×	186 1.0×	91 1.6×	14	712
Alyssa Vito Canada	11	210 0.7×	95 0.4×	139 0.6×	204 1.1×	81 1.4×	18	555
Véronique Sitruk France	5	659 2.2×	408 1.6×	383 1.8×	131 0.7×	154 2.7×	8	935

Countries citing papers authored by Eric Lin

Since Specialization

Citations

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

Fields of papers citing papers by Eric Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Lin

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

All Works

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9 of 9 papers shown

Zeinali, Mina, Maggie Lee, Eric Lin, et al.. (2020). High-Throughput Label-Free Isolation of Heterogeneous Circulating Tumor Cells and CTC Clusters from Non-Small-Cell Lung Cancer Patients. Cancers. 12(1). 127–127. 68 indexed citations

Lohse, Ines, Eric Lin, Shreya Raghavan, et al.. (2020). Expansion of Circulating Tumor Cells from Patients with Locally Advanced Pancreatic Cancer Enable Patient Derived Xenografts and Functional Studies for Personalized Medicine. Cancers. 12(4). 1011–1011. 36 indexed citations

Zeinali, Mina, Wei Huang, Maggie Lee, et al.. (2020). Abstract B45: High-throughput label-free isolation and expansion of circulating tumor cells (CTCs) from non-small cell lung cancer (NSCLC) patients for personalized treatments. Clinical Cancer Research. 26(11_Supplement). B45–B45. 1 indexed citations

Wan, Shanshan, Tae Hyun Kim, Hui Guo, et al.. (2019). New Labyrinth Microfluidic Device Detects Circulating Tumor Cells Expressing Cancer Stem Cell Marker and Circulating Tumor Microemboli in Hepatocellular Carcinoma. Scientific Reports. 9(1). 18575–18575. 49 indexed citations

Chen, Yu‐Chih, Eric Lin, Riley Brien, et al.. (2019). Hydro-Seq enables contamination-free high-throughput single-cell RNA-sequencing for circulating tumor cells. Nature Communications. 10(1). 2163–2163. 178 indexed citations

Zeinali, Mina, Maggie Lee, Eric Lin, et al.. (2019). Abstract 1332: High Throughput isolation and expansion of circulating tumor cells (CTCs) from Non-small cell lung cancer (NSCLC) patients for personalized treatments. Cancer Research. 79(13_Supplement). 1332–1332. 1 indexed citations

Lin, Eric, et al.. (2018). Circulating Tumor Cells: Diagnostic and Therapeutic Applications. Annual Review of Biomedical Engineering. 20(1). 329–352. 78 indexed citations

Syverud, Brian C., Eric Lin, Sunitha Nagrath, & Lisa M. Larkin. (2017). Label-Free, High-Throughput Purification of Satellite Cells Using Microfluidic Inertial Separation. Tissue Engineering Part C Methods. 24(1). 32–41. 16 indexed citations

Lin, Eric, Shamileh Fouladdel, Hyeun Joong Yoon, et al.. (2017). High-Throughput Microfluidic Labyrinth for the Label-free Isolation of Circulating Tumor Cells. Cell Systems. 5(3). 295–304.e4. 99 indexed citations

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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