Lan Ji

1.9k citations
16 papers · 696 · h-index 12

Impact in

Papers in

Lan Ji

15 papers receiving 685 citations

Peers

Lan Ji
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 128
  • Health, Toxicology and Mutagenesis 77
  • Physiology 25
  • Oncology 126
  • Cellular and Molecular Neuroscience 74
Replace Yoshiaki Doi with:
Yoshiaki Doi Japan
Holly A. Field United States
Fei-Ling Lim United Kingdom
Jaymie R. Voorhees United States
Wei Weng United States
Clare B. Harvey United Kingdom
Tomáš Kučera Czechia
Amy McCurley United States
Xueqing Liu China
Qin Fan China
Lan Ji relative to Yoshiaki Doi Japan Yoshiaki Doi's profile →
Citations per field
00.5×1.5×2.2×
Yoshiaki Doi · 1×
Citations per year

Countries citing papers authored by Lan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Lan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2003301
2 201164
3 201061
4 200660
5 200733
6 200732
7 202330
8 200525
9 200724
10 200621
11
A Method of Multi-Attribute Group Decision-Making Based on the Aggregation Operators for Interval Two-tuple Linguistic Information
200916
12 202216
13 20168
14
Basic pluripotent stem cell culture protocols
20124
15 20211
16 20250

About Lan Ji

Lan Ji is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Mechanics of Materials and Health, Toxicology and Mutagenesis, having authored 16 papers that have together received 696 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Reproductive biology and impacts on aquatic species (2 papers), Chemical Analysis and Environmental Impact (2 papers), Landslides and related hazards (2 papers), Rock Mechanics and Modeling (2 papers), Biomedical Research and Pathophysiology (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (128 citations), Health, Toxicology and Mutagenesis (77 citations), Physiology (25 citations), Oncology (126 citations) and Cellular and Molecular Neuroscience (74 citations). Lan Ji has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Caren C. Helbing, Yoshiki Iwamoto, En Li, Jörg J. Jacoby, April Kalinowski, Xin-Yuan Fu, Mu-Gen Liu, Kerry S. Russell, Qian Gao and Michael Schneider. Their work appears in journals such as Aquatic Toxicology, Proceedings of the National Academy of Sciences, PLoS ONE, Plant Molecular Biology and Diabetologia.

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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