Clement C. Leong

1.4k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Clement C. Leong is a scholar working on Immunology, Oncology and Biotechnology. According to data from OpenAlex, Clement C. Leong has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Oncology and 6 papers in Biotechnology. Recurrent topics in Clement C. Leong's work include Cancer Research and Treatments (6 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (4 papers). Clement C. Leong is often cited by papers focused on Cancer Research and Treatments (6 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (4 papers). Clement C. Leong collaborates with scholars based in Australia, United States and Qatar. Clement C. Leong's co-authors include Joseph H. Phillips, Lewis L. Lanier, Brian C. Corliss, Jun Wu, Michael J. Garlepp, Bruce Robinson, Edward S. Mocarski, Tara L. Chapman, Pamela J. Björkman and Irina Caminschi and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and International Journal of Cancer.

In The Last Decade

Clement C. Leong

10 papers receiving 1.1k citations

Hit Papers

Immunoreceptor DAP12 bearing a tyrosine-based activation ... 1998 2026 2007 2016 1998 250 500 750

Peers

Clement C. Leong
Comparison fields: 5 of 69
  • Immunology 915
  • Oncology 240
  • Epidemiology 168
  • Pulmonary and Respiratory Medicine 125
  • Molecular Biology 113
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Citations per field, relative to Clement C. Leong
Clement C. Leong · 1×
Citations per year, relative to Clement C. Leong
Clement C. Leong · 1×

Countries citing papers authored by Clement C. Leong

Since Specialization
Citations

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

Fields of papers citing papers by Clement C. Leong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clement C. Leong. 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 Clement C. Leong. The network helps show where Clement C. Leong may publish in the future.

Co-authorship network of co-authors of Clement C. Leong

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 32
2 27
3
Immunoreceptor DAP12 bearing a tyrosine-based activation motif is involved in activating NK cells breakdown →
754
4 54
5 38
6 153
7 21
8 18
9
Induction and maintenance of T-cell response to a nonimmunogenic murine mesothelioma cell line requires expression of B7-1 and the capacity to upregulate class II major histocompatibility complex expression.
14
10 14

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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