Sammy Yuan

472 total citations
7 papers, 362 citations indexed

About

Sammy Yuan is a scholar working on Oncology, Surgery and Statistics and Probability. According to data from OpenAlex, Sammy Yuan has authored 7 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Surgery and 2 papers in Statistics and Probability. Recurrent topics in Sammy Yuan's work include Cancer Immunotherapy and Biomarkers (4 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Advanced Causal Inference Techniques (2 papers). Sammy Yuan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Advanced Causal Inference Techniques (2 papers). Sammy Yuan collaborates with scholars based in United States, France and United Kingdom. Sammy Yuan's co-authors include Sarina A. Piha‐Paul, Jonathan D. Cheng, Patrick A. Ott, Minori Koshiji, Elizabeth A. Johnson, Dominique Berton-Rigaud, Daniela Matei, Andréa Varga, Eric H. Rubin and Janice M. Mehnert and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Statistics in Medicine.

In The Last Decade

Sammy Yuan

7 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sammy Yuan United States	5	301	117	112	90	46	7	362
Muneeb Khawar Qatar	7	189 0.6×	50 0.4×	149 1.3×	58 0.6×	10 0.2×	23	295
Carlos Linn United States	6	198 0.7×	27 0.2×	96 0.9×	87 1.0×	102 2.2×	15	283
Jennifer McLachlan United Kingdom	10	113 0.4×	58 0.5×	24 0.2×	45 0.5×	116 2.5×	21	280
B.J. Monk United States	11	135 0.4×	104 0.9×	26 0.2×	72 0.8×	191 4.2×	57	367
Angèle L.M. Oei Netherlands	7	99 0.3×	55 0.5×	48 0.4×	55 0.6×	176 3.8×	16	368
И. А. Покатаев Russia	7	141 0.5×	78 0.7×	18 0.2×	101 1.1×	23 0.5×	86	246
Vivian M. Spaans Netherlands	11	125 0.4×	73 0.6×	129 1.2×	49 0.5×	31 0.7×	13	350
Sylvie Métairie France	8	172 0.6×	153 1.3×	24 0.2×	99 1.1×	23 0.5×	15	331
Marcela Schultz Chile	7	44 0.1×	181 1.5×	43 0.4×	61 0.7×	19 0.4×	24	264
Longgang Cui China	7	297 1.0×	42 0.4×	65 0.6×	159 1.8×	5 0.1×	17	383

Countries citing papers authored by Sammy Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Sammy Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sammy Yuan

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Chen, Jie, Xiaoyun Li, Sammy Yuan, et al.. (2024). Considerations for master protocols using external controls. Journal of Biopharmaceutical Statistics. 35(2). 297–319. 1 indexed citations

2.

Li, Kan, Sheng Luo, Sammy Yuan, & Shahrul Mt‐Isa. (2019). A Bayesian approach for individual‐level drug benefit‐risk assessment. Statistics in Medicine. 38(16). 3040–3052. 2 indexed citations

3.

Bang, Yung‐Jue, Toshio Doi, Filippo de Braud, et al.. (2015). 525 Safety and efficacy of pembrolizumab (MK-3475) in patients (pts) with advanced biliary tract cancer: Interim results of KEYNOTE-028. European Journal of Cancer. 51. S112–S112. 112 indexed citations

4.

Doi, Toshihiko, Sarina A. Piha‐Paul, Shadia I. Jalal, et al.. (2015). Pembrolizumab (MK-3475) for patients (pts) with advanced esophageal carcinoma: Preliminary results from KEYNOTE-028.. Journal of Clinical Oncology. 33(15_suppl). 4010–4010. 32 indexed citations

5.

Alley, Evan, L Rhoda Molife, Armando Santoro, et al.. (2015). Abstract CT103: Clinical safety and efficacy of pembrolizumab (MK-3475) in patients with malignant pleural mesothelioma: Preliminary results from KEYNOTE-028. Cancer Research. 75(15_Supplement). CT103–CT103. 29 indexed citations

6.

Varga, Andréa, Sarina A. Piha‐Paul, Patrick A. Ott, et al.. (2015). Antitumor activity and safety of pembrolizumab in patients (pts) with PD-L1 positive advanced ovarian cancer: Interim results from a phase Ib study.. Journal of Clinical Oncology. 33(15_suppl). 5510–5510. 118 indexed citations

7.

Ott, Patrick A., Sandrine Hiret, Dong‐Wan Kim, et al.. (2015). Pembrolizumab (MK-3475) in patients (pts) with extensive-stage small cell lung cancer (SCLC): Preliminary safety and efficacy results from KEYNOTE-028.. Journal of Clinical Oncology. 33(15_suppl). 7502–7502. 68 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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