Nianlan Yang

537 citations
13 papers · 361 · h-index 9

Impact in

    • Mesenchymal stem cell research
    • Estrogen and related hormone effects
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Cytokine Signaling Pathways and Interactions 4
    • Chemokine receptors and signaling 2
    • Bone Metabolism and Diseases 2

Nianlan Yang

13 papers receiving 355 citations

Peers

Nianlan Yang
Comparison fields: 5 of 74
  • Genetics 64
  • Immunology 97
  • Orthopedics and Sports Medicine 37
  • Endocrinology, Diabetes and Metabolism 64
  • Cancer Research 47
Replace Inger Lundgren with:
Inger Lundgren Sweden
Guanqiao Liu China
Liming Yu China
Corinne Schiltz France
Wenge Ding China
Sarah E. B. Taylor United States
Stephanie Abraham Germany
Brittany Eckhardt United States
Mustapha Zeddou Belgium
Terese Geraghty United States
Nianlan Yang relative to Inger Lundgren Sweden Inger Lundgren's profile →
Citations per field
00.5×3.4×
Inger Lundgren · 1×
Citations per year

Countries citing papers authored by Nianlan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Nianlan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2007121
2 200756
3 201243
4 201535
5 201426
6 201523
7 201222
8 202215
9 201711
10 20215
11 19992
12 20101
13 20161

About Nianlan Yang

Nianlan Yang is a scholar working on Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 13 papers that have together received 361 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Immune Response and Inflammation (2 papers), NF-κB Signaling Pathways (2 papers), Estrogen and related hormone effects (2 papers), Bone Metabolism and Diseases (2 papers), Adrenal Hormones and Disorders (2 papers), Chemokine receptors and signaling (2 papers) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Genetics (64 citations), Immunology (97 citations), Orthopedics and Sports Medicine (37 citations), Endocrinology, Diabetes and Metabolism (64 citations) and Cancer Research (47 citations). Nianlan Yang has collaborated with scholars based in United States, China and Nigeria. Frequent co-authors include Xingming Shi, Weixi Zhang, Carlos M. Isales, Mark W. Hamrick, Babak Baban, Kehong Ding, Jay Cao, Linlin He, William Hill and Samuel Herberg. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Journal of Cellular Biochemistry, Journal of Investigative Medicine and Diabetes Care.

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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