Nikki Cheng

3.1k citations
43 papers · 2.5k indexed · h-index 28

Impact in

Papers in

    • Cancer Cells and Metastasis 17
    • Chemokine receptors and signaling 15
    • Immunotherapy and Immune Responses 13
    • Immune cells in cancer 5

Nikki Cheng

43 papers receiving 2.5k citations

Peers

Nikki Cheng
Comparison fields: 5 of 95
  • Oncology 1.2k
  • Cellular and Molecular Neuroscience 552
  • Immunology 566
  • Cancer Research 387
  • Molecular Biology 1.4k
Replace Zhenhe Suo with:
Zhenhe Suo Norway
Kaustubh Datta United States
Dana M. Brantley United States
Robin E. Bachelder United States
Wei Bin Fang United States
William M. Merritt United States
Ofra Kessler Israel
Frauke Bataille Germany
Ari Elson Israel
Mario Mancino Italy
Nikki Cheng relative to Zhenhe Suo Norway Zhenhe Suo's profile →
Citations per field
00.5×1.5×2.1×
Zhenhe Suo · 1×
Citations per year

Countries citing papers authored by Nikki Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Nikki Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20235
3 20228
4 202124
5 202010
6 201934
7 201852
8 201824
9 201744
10 2016100
11 20168
12 201033
13 2008112
14 200844
15 200752
16 200741
17 2005208
18 200379
19 2002263
20 2002260

About Nikki Cheng

Nikki Cheng is a scholar working on Oncology, Immunology, Hepatology, Immunology and Allergy and Molecular Biology, having authored 43 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (17 papers), Chemokine receptors and signaling (15 papers), Immunotherapy and Immune Responses (13 papers), TGF-β signaling in diseases (11 papers), Immune cells in cancer (5 papers), Axon Guidance and Neuronal Signaling (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Oncology (1.2k citations), Cellular and Molecular Neuroscience (552 citations), Immunology (566 citations), Cancer Research (387 citations) and Molecular Biology (1.4k citations). Nikki Cheng has collaborated with scholars based in United States, China and India. Frequent co-authors include Jin Chen, Dana M. Brantley, Wei Bin Fang, Harold L. Moses, Anna Chytil, Min Yao, Yu Shyr, An Zou, Stacey L. Hembruff and Rebecca S. Muraoka. Their work appears in journals such as Neoplasia, Molecular Cancer Research, Journal of Biological Chemistry, Cancer Research and Oncogene.

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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