Nani Li

750 citations
18 papers · 552 · h-index 8

Impact in

Papers in

    • Cancer Treatment and Pharmacology 5
    • HER2/EGFR in Cancer Research 3
    • Cancer Cells and Metastasis 2
    • Neutropenia and Cancer Infections 2
    • Breast Cancer Treatment Studies 3

Nani Li

17 papers receiving 545 citations

Peers

Nani Li
Comparison fields: 5 of 89
  • Modeling and Simulation 251
  • Nature and Landscape Conservation 78
  • Cell Biology 88
  • Soil Science 51
  • Oncology 95
Replace Rebecca A. Everett with:
Rebecca A. Everett United States
Dariusz Wrzosek Poland
K. Kawasaki Japan
Vincent Calvez France
Abbey J. Perumpanani United Kingdom
Eva Sánchez Spain
Mandri Obeyesekere United States
Wang Jin Australia
Yan Ouyang China
David J. Duffy Ireland
Nani Li relative to Rebecca A. Everett United States Rebecca A. Everett's profile →
Citations per field
00.5×6.3×
Rebecca A. Everett · 1×
Citations per year

Countries citing papers authored by Nani Li

Since Specialization
Citations

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

Fields of papers citing papers by Nani Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2008299
2 2016113
3 201569
4 201616
5 201812
6 202011
7 202110
8 20217
9 20233
10 20243
11 20242
12 20202
13 20221
14 20241
15 20221
16
Evaluation of leaf non-structural carbohydrate contents in typical forest ecosystems in northern China
20161
17 20221
18 20240

About Nani Li

Nani Li is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Plant Science, having authored 18 papers that have together received 552 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (5 papers), Breast Cancer Treatment Studies (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Cells and Metastasis (2 papers), Neutropenia and Cancer Infections (2 papers), Botany and Plant Ecology Studies (1 paper), Ferroptosis and cancer prognosis (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Modeling and Simulation (251 citations), Nature and Landscape Conservation (78 citations), Cell Biology (88 citations), Soil Science (51 citations) and Oncology (95 citations). Nani Li has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Philip K. Maini, Nicola Bellomo, Nianpeng He, Guirui Yu, Qiufeng Wang, Jian Sun, Dali Guo, Cuicui Jiao, Yanlong Jia and Ning Zhao. Their work appears in journals such as OncoTargets and Therapy, Science of Advanced Materials, BMC Cancer, Frontiers in Cell and Developmental Biology and Cancer Chemotherapy and Pharmacology.

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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