Chin Leng Tan

736 total citations
9 papers, 80 citations indexed

About

Chin Leng Tan is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Chin Leng Tan has authored 9 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Chin Leng Tan's work include CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (2 papers). Chin Leng Tan is often cited by papers focused on CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (2 papers). Chin Leng Tan collaborates with scholars based in Germany, China and France. Chin Leng Tan's co-authors include Isabel Poschke, Chee-Kwee Ea, Ming Tan, Edward W. Green, Michael Platten, Zibo Meng, Miriam Ratliff, Richard P. Harbottle, Francesco Imperatore and Rienk Offringa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and Scientific Reports.

In The Last Decade

Chin Leng Tan

8 papers receiving 80 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chin Leng Tan Germany	5	42	39	38	12	7	9	80
Hélène Ruffieux United Kingdom	4	39 0.9×	37 0.9×	27 0.7×	9 0.8×	11 1.6×	6	96
Agnieszka Świątkowska United Kingdom	7	26 0.6×	29 0.7×	51 1.3×	9 0.8×	15 2.1×	15	91
Alexander Desuki Germany	6	35 0.8×	25 0.6×	36 0.9×	8 0.7×	4 0.6×	16	69
Yasmin Nouri New Zealand	5	26 0.6×	34 0.9×	36 0.9×	9 0.8×	10 1.4×	6	79
Daniel de la Nava Spain	5	39 0.9×	19 0.5×	34 0.9×	10 0.8×	8 1.1×	10	80
Julia Han Noll Germany	4	56 1.3×	37 0.9×	35 0.9×	11 0.9×	8 1.1×	6	92
Patrick Schummer Germany	5	56 1.3×	21 0.5×	39 1.0×	10 0.8×	6 0.9×	14	87
Ettai Markovits Israel	6	35 0.8×	32 0.8×	39 1.0×	15 1.3×	10 1.4×	10	71
Neeharika Kothapalli United States	4	22 0.5×	37 0.9×	44 1.2×	5 0.4×	9 1.3×	8	88
Charles Macaulay United States	5	26 0.6×	26 0.7×	16 0.4×	25 2.1×	8 1.1×	8	76

Countries citing papers authored by Chin Leng Tan

Since Specialization

Citations

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

Fields of papers citing papers by Chin Leng Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin Leng Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Chin Leng Tan. A scholar is included among the top collaborators of Chin Leng Tan 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 Chin Leng Tan. Chin Leng Tan 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

Tan, Chin Leng, Katharina A.M. Lindner, Zibo Meng, et al.. (2024). Prediction of tumor-reactive T cell receptors from scRNA-seq data for personalized T cell therapy. Nature Biotechnology. 43(1). 134–142. 26 indexed citations

Lindner, Katharina A.M., Chin Leng Tan, Kristine Jähne, et al.. (2024). H3K27M neoepitope vaccination in diffuse midline glioma induces B and T cell responses across diverse HLA loci of a recovered patient. Science Advances. 10(5). eadi9091–eadi9091. 7 indexed citations

Tan, Chin Leng, et al.. (2024). Efficacy of dupilumab in the treatment of COPD with type 2 inflammation: A real-world study. SHILAP Revista de lepidopterología. 2. 100015–100015.

Veinalde, Rūta, Gemma Pidelaserra-Martí, Chin Leng Tan, et al.. (2023). Virotherapy combined with anti-PD-1 transiently reshapes the tumor immune environment and induces anti-tumor immunity in a preclinical PDAC model. Frontiers in Immunology. 13. 1096162–1096162. 5 indexed citations

Jähne, Kristine, Chin Leng Tan, Lisa Epping, et al.. (2023). Endothelial Indoleamine-2,3-Dioxygenase-1 is not Critically Involved in Regulating Antitumor Immunity in the Central Nervous System. PubMed. 16. 934137815–934137815. 1 indexed citations

Meng, Zibo, Chin Leng Tan, Mogjiborahman Salek, et al.. (2023). Transcriptome-based identification of tumor-reactive and bystander CD8 ⁺ T cell receptor clonotypes in human pancreatic cancer. Science Translational Medicine. 15(722). eadh9562–eadh9562. 15 indexed citations

Bunse, Lukas, Claudia Sommerer, Chin Leng Tan, et al.. (2022). Common T-Cell-Receptor Motifs and Features in Patients with Cytomegalovirus (CMV)-Seronegative End-Stage Renal Disease Receiving a Peptide Vaccination against CMV. International Journal of Molecular Sciences. 23(3). 1029–1029. 2 indexed citations

Kilian, Michael, Chin Leng Tan, Katrin Aslan, et al.. (2021). Comparative evaluation of T-cell receptors in experimental glioma-draining lymph nodes. Neuro-Oncology Advances. 3(1). vdab147–vdab147. 2 indexed citations

Tan, Ming, et al.. (2016). JMJD8 is a positive regulator of TNF-induced NF-κB signaling. Scientific Reports. 6(1). 34125–34125. 22 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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