Jianchang Lin

3.1k citations
84 papers · 1.0k indexed · 1 hit paper · h-index 18

Jianchang Lin

76 papers receiving 983 citations

Hit Papers

Treatment Outcomes and Safety of Mobocertinib in Platinum...196202120262022202450100150

Peers

Jianchang Lin
Comparison fields: 5 of 93
  • Statistics and Probability 276
  • Hematology 182
  • Oncology 395
  • Pulmonary and Respiratory Medicine 359
  • Cancer Research 119
Replace Jared C. Foster with:
Jared C. Foster United States
Martin Jenkins United Kingdom
Jeffrey Skolnik United States
M N Chang United States
Daniel Mulkerin United States
Zhihong Cai Japan
Jonathon Vallejo United States
Hongkun Wang United States
John D. Cook United States
Thomas Gwise United States
Jianchang Lin relative to Jared C. Foster United States Jared C. Foster's profile →
Citations per field
00.5×3.1×
Jared C. Foster · 1×
Citations per year

Countries citing papers authored by Jianchang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jianchang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20257
3 20250
4 20250
5 20243
6 20240
7 20240
8 202316
9 20234
10 202311
11 20233
12 20236
13 20221
14 20224
15 202131
16 202114
17 202112
18 20212
19 20205
20 201744

About Jianchang Lin

Jianchang Lin is a scholar working on Statistics and Probability, Management Science and Operations Research and Hematology, having authored 84 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (44 papers), Lung Cancer Treatments and Mutations (21 papers), Optimal Experimental Design Methods (19 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), Advanced Causal Inference Techniques (16 papers), Colorectal Cancer Treatments and Studies (10 papers), Multiple Myeloma Research and Treatments (9 papers) and Biosimilars and Bioanalytical Methods (9 papers). The work is most often cited by research in Statistics and Probability (276 citations), Hematology (182 citations) and Oncology (395 citations). Jianchang Lin has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Veronica Bunn, Shu Jin, Qing Li, Danny Nguyen, Minal Mehta, Huamao Mark Lin, Rachael Liu, Pasi A. Jänne, Suresh S. Ramalingam and James Chih‐Hsin Yang. Their work appears in journals such as Journal of Clinical Oncology, Blood and Biometrics.

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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