Robert Chin

9.6k total citations · 2 hit papers
190 papers, 5.8k citations indexed

About

Robert Chin is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Robert Chin has authored 190 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Pulmonary and Respiratory Medicine, 35 papers in Surgery and 24 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Robert Chin's work include Tracheal and airway disorders (26 papers), Head and Neck Cancer Studies (20 papers) and Pregnancy and preeclampsia studies (19 papers). Robert Chin is often cited by papers focused on Tracheal and airway disorders (26 papers), Head and Neck Cancer Studies (20 papers) and Pregnancy and preeclampsia studies (19 papers). Robert Chin collaborates with scholars based in United States, China and Hong Kong. Robert Chin's co-authors include Yang‐Xin Fu, Kenneth D. Benne, Warren G. Bennis, Edward F. Haponik, Byron Burnette, Ralph R. Weichselbaum, Tony Tu, Rohit Sharma, Yuru Meng and Youjin Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Robert Chin

181 papers receiving 5.5k citations

Hit Papers

Therapeutic effects of a... 1969 2026 1988 2007 2009 1969 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Chin United States 36 1.9k 1.6k 1.4k 763 648 190 5.8k
Judith R. Kroep Netherlands 45 904 0.5× 3.1k 2.0× 1.8k 1.3× 695 0.9× 429 0.7× 215 7.0k
Christof Sohn Germany 46 1.3k 0.7× 2.3k 1.5× 886 0.6× 975 1.3× 729 1.1× 303 7.7k
Barry W. Hancock United Kingdom 44 816 0.4× 3.0k 2.0× 1.2k 0.9× 696 0.9× 600 0.9× 235 8.2k
Joyce C. Niland United States 50 553 0.3× 3.5k 2.2× 1.2k 0.9× 1.4k 1.8× 427 0.7× 160 8.4k
Kerri McPherson United Kingdom 16 412 0.2× 2.2k 1.4× 1.7k 1.2× 1.6k 2.1× 386 0.6× 32 8.3k
Bo Nilsson Sweden 40 679 0.4× 1.6k 1.0× 687 0.5× 583 0.8× 422 0.7× 161 4.6k
Melissa A. Geller United States 40 2.0k 1.0× 2.7k 1.7× 634 0.5× 649 0.9× 179 0.3× 140 5.7k
Katherine A. Guthrie United States 56 1.2k 0.6× 2.7k 1.7× 1.5k 1.1× 1.1k 1.5× 252 0.4× 238 8.8k
Annette Hasenburg Germany 38 388 0.2× 2.3k 1.5× 718 0.5× 902 1.2× 434 0.7× 260 4.9k
Kenneth Chen Singapore 23 1.1k 0.6× 420 0.3× 656 0.5× 538 0.7× 316 0.5× 128 3.8k

Countries citing papers authored by Robert Chin

Since Specialization
Citations

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

Fields of papers citing papers by Robert Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Chin. A scholar is included among the top collaborators of Robert Chin 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 Robert Chin. Robert Chin 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
1.
Pan, Xiaoying, et al.. (2023). A survival prediction model via interpretable machine learning for patients with oropharyngeal cancer following radiotherapy. Journal of Cancer Research and Clinical Oncology. 149(10). 6813–6825. 9 indexed citations
2.
Zhang, Huan, et al.. (2023). Anterior Skull Base Osteoradionecrosis in the Age of Intensity-Modulated Radiation Therapy: A Case Series. Journal of Neurological Surgery Reports. 84(3). e109–e112. 1 indexed citations
3.
Shames, Iman, Chris Manzie, Robert Chin, et al.. (2018). A Machine Learning Approach for Tuning Model Predictive Controllers. 2003–2008. 10 indexed citations
4.
Yu, Victoria, Kaley Woods, Dan Nguyen, et al.. (2018). A Prospective 4π Radiation Therapy Clinical Study in Recurrent High-Grade Glioma Patients. International Journal of Radiation Oncology*Biology*Physics. 101(1). 144–151. 39 indexed citations
5.
Abemayor, Elliot, et al.. (2018). Developing Supportive Care Services Within a Multidisciplinary Head and Neck Cancer Program. International Journal of Radiation Oncology*Biology*Physics. 100(5). 1398–1398. 2 indexed citations
8.
Velez, Maria A., Darlene Veruttipong, Pin‐Chieh Wang, et al.. (2017). Re-irradiation for recurrent and second primary cancers of the head and neck. Oral Oncology. 67. 46–51. 16 indexed citations
9.
Volkmer, Jens-Peter, Debashis Sahoo, Robert Chin, et al.. (2012). Three differentiation states risk-stratify bladder cancer into distinct subtypes. Proceedings of the National Academy of Sciences. 109(6). 2078–2083. 187 indexed citations
10.
Chin, Robert, et al.. (2011). 18F-FDG PET/CT imaging findings in patients with solitary pulmonary tuberculoma. 1 indexed citations
11.
Lee, Youjin, Sogyong Auh, Yugang Wang, et al.. (2009). Therapeutic effects of ablative radiation on local tumor require CD8+ T cells: changing strategies for cancer treatment. Blood. 114(3). 589–595. 1050 indexed citations breakdown →
12.
Calderon, Yvette, Jason Leider, Susan M. Hailpern, et al.. (2009). High-Volume Rapid HIV Testing in an Urban Emergency Department. AIDS Patient Care and STDs. 23(9). 749–755. 45 indexed citations
13.
Chin, Robert. (2008). Selective blockade of NF-kappa B by novel mutated I kappa B alpha suppresses CD3/CD28-induced activation of memory CD4(+) T cells in asthma. 1 indexed citations
14.
Zhu, Mingzhao, Robert Chin, Alexei V. Tumanov, Xiaojuan Liu, & Yang‐Xin Fu. (2007). Lymphotoxin β Receptor Is Required for the Migration and Selection of Autoreactive T Cells in Thymic Medulla. The Journal of Immunology. 179(12). 8069–8075. 52 indexed citations
15.
Lee, Youjin, Robert Chin, Peter A. Christiansen, et al.. (2006). Recruitment and Activation of Naive T Cells in the Islets by Lymphotoxin β Receptor-Dependent Tertiary Lymphoid Structure. Immunity. 25(3). 499–509. 141 indexed citations
16.
Chin, Robert, Mingzhao Zhu, Peter A. Christiansen, et al.. (2006). Lymphotoxin Pathway-Directed, Autoimmune Regulator-Independent Central Tolerance to Arthritogenic Collagen. The Journal of Immunology. 177(1). 290–297. 46 indexed citations
17.
Yu, Ping, Yang Wang, Robert Chin, et al.. (2002). B Cells Control the Migration of a Subset of Dendritic Cells into B Cell Follicles Via CXC Chemokine Ligand 13 in a Lymphotoxin-Dependent Fashion. The Journal of Immunology. 168(10). 5117–5123. 93 indexed citations
18.
Chin, Robert, James O. Cappellari, Norman E. Adair, et al.. (2002). Transbronchial Needle Aspiration in Diagnosing and Staging Lung Cancer: How Many Aspirates Are Needed?. American Journal of Respiratory and Critical Care Medicine. 166(3). 377–381. 100 indexed citations
19.
Hughes, Thomas K., Robert Chin, Stephen K. Tyring, & Peter L. Rady. (1994). Distinction of Mouse Interferon-α Subtypes by Polymerase Chain Reaction Utilizing Consensus Primers and Type-Specific Oligonucleotide Probes. Journal of Interferon Research. 14(3). 117–120. 13 indexed citations
20.
Chin, Robert & Terence T. Lao. (1988). Low birth weight and hyperemesis gravidarum. European Journal of Obstetrics & Gynecology and Reproductive Biology. 28(3). 179–183. 45 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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