NU Lin

1.7k citations
41 papers · 230 · h-index 9

Impact in

    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Lung Cancer Research Studies
    • Breast Cancer Treatment Studies

Papers in

    • Cancer Treatment and Pharmacology 14
    • HER2/EGFR in Cancer Research 12
    • Lung Cancer Research Studies 6
    • Advanced Breast Cancer Therapies 12
    • Brain Metastases and Treatment 8
    • Lung Cancer Treatments and Mutations 5

NU Lin

35 papers receiving 221 citations

Peers

NU Lin
Comparison fields: 5 of 45
  • Oncology 138
  • Cancer Research 63
  • Genetics 25
  • Pulmonary and Respiratory Medicine 68
  • Radiology, Nuclear Medicine and Imaging 38
Replace D. Solit with:
D. Solit United States
Dionysis Papadatos-Pastos United Kingdom
Mathias Tesson United Kingdom
Eric Haines United States
Islam Baiev United States
Carmelo Arizzi Italy
Mustafa Sakhi United States
Judit Matito Spain
Franziska Niehr Germany
Sietske B.M. Gaykema Netherlands
NU Lin relative to D. Solit United States D. Solit's profile →
Citations per field
00.5×
D. Solit · 1×
Citations per year

Countries citing papers authored by NU Lin

Since Specialization
Citations

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

Fields of papers citing papers by NU Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201253
2 200929
3 201516
4 200913
5 201112
6 201010
7 20209
8 20229
9 20118
10 20098
11 20198
12 20128
13 20225
14 20145
15 20084
16 20113
17 20113
18 20183
19 20083
20 20102

About NU Lin

NU Lin is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 230 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (14 papers), HER2/EGFR in Cancer Research (12 papers), Advanced Breast Cancer Therapies (12 papers), Brain Metastases and Treatment (8 papers), Cancer Genomics and Diagnostics (8 papers), Breast Cancer Treatment Studies (6 papers), Lung Cancer Research Studies (6 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Oncology (138 citations), Cancer Research (63 citations), Genetics (25 citations), Pulmonary and Respiratory Medicine (68 citations) and Radiology, Nuclear Medicine and Imaging (38 citations). NU Lin has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Luke Whitesell, Sandro Santagata, Eric P. Winer, Xin Lian, Yi Zhou, Richard L. Theriault, Stephen B. Edge, Joyce C. Niland, Yao Liang Wong and Ann Vanderplas. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Annals of Oncology, BMC Psychiatry and ESMO Open.

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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