Tong Lan

577 citations
10 papers · 333 · h-index 8

Impact in

    • Cancer, Lipids, and Metabolism
    • RNA modifications and cancer
    • Inflammasome and immune disorders
    • Ubiquitin and proteasome pathways

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Chemical Synthesis and Analysis 3
    • Receptor Mechanisms and Signaling 2
    • Advanced biosensing and bioanalysis techniques 1
    • Biochemical and Molecular Research 1
    • Click Chemistry and Applications 2

Tong Lan

10 papers receiving 332 citations

Peers

Tong Lan
Comparison fields: 5 of 62
  • Cancer Research 75
  • Molecular Biology 243
  • Pulmonary and Respiratory Medicine 69
  • Biochemistry 15
  • Spectroscopy 34
Replace Rhushikesh A. Kulkarni with:
Rhushikesh A. Kulkarni United States
Alireza Delfarah United States
Andreas Naschberger Austria
Xinge Cui China
Neha M. Akella United States
Benjamin Spangler United States
Chengyu Chu China
Lorela Ciraku United States
Shao Thing Teoh United States
Tong Lan relative to Rhushikesh A. Kulkarni United States Rhushikesh A. Kulkarni's profile →
Citations per field
00.5×1.5×2.2×
Rhushikesh A. Kulkarni · 1×
Citations per year

Countries citing papers authored by Tong Lan

Since Specialization
Citations

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

Fields of papers citing papers by Tong Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2018144
2 202145
3 202141
4 201737
5 202426
6 202213
7 202411
8 20199
9 20226
10 20251

About Tong Lan

Tong Lan is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Radiology, Nuclear Medicine and Imaging and Nephrology, having authored 10 papers that have together received 333 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Chemical Synthesis and Analysis (3 papers), Click Chemistry and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Peptidase Inhibition and Analysis (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Cancer Research (75 citations), Molecular Biology (243 citations), Pulmonary and Respiratory Medicine (69 citations), Biochemistry (15 citations) and Spectroscopy (34 citations). Tong Lan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Bryan C. Dickinson, Chu Wang, Ying Chen, Xiaomeng Hou, Wei Qin, Yuntao Zhu, Yuan Liu, Haobo Wang, Marcus Conrad and Jinjun Gao. Their work appears in journals such as Journal of the American Chemical Society, ACS Chemical Biology, ACS Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences and Current Opinion in Chemical Biology.

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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