Pu Ni

618 citations
24 papers · 470 · h-index 10

Impact in

  • Nephrology top 2%
    • Parathyroid Disorders and Treatments
  • Hematology top 10%
    • Iron Metabolism and Disorders

Papers in

    • Parathyroid Disorders and Treatments 17
    • Genetic Syndromes and Imprinting 9
    • Genetic and Kidney Cyst Diseases 3

Pu Ni

21 papers receiving 467 citations

Peers

Pu Ni
Comparison fields: 5 of 45
  • Nephrology 245
  • Hematology 78
  • Nutrition and Dietetics 68
  • Cancer Research 59
  • Genetics 43
Replace Erica L. Clinkenbeard with:
Erica L. Clinkenbeard United States
Brian A. Czaya United States
Amie K. Gray United States
Eva S. Liu United States
Christopher Yanucil United States
Lelia J. Summers United States
Kanako Tachikawa Japan
Beth A. Derfus United States
Orla Gallagher United Kingdom
Nariaki Asada Germany
Pu Ni relative to Erica L. Clinkenbeard United States Erica L. Clinkenbeard's profile →
Citations per field
00.5×1.5×
Erica L. Clinkenbeard · 1×
Citations per year

Countries citing papers authored by Pu Ni

Since Specialization
Citations

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

Fields of papers citing papers by Pu Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021112
2 201659
3 201954
4 202044
5 202042
6 201735
7 202023
8 202120
9 202119
10 202315
11 202010
12 202410
13
Conditional Deletion of Murine Fgf23: Interruption of the Normal Skeletal Responses to Phosphate Challenge and Rescue of Genetic Hypophosphatemia
20167
14 20195
15 20244
16 20253
17
Osteocytic FGF23 and Its Kidney Function
20202
18 20222
19 20252
20 20241

About Pu Ni

Pu Ni is a scholar working on Nephrology, Genetics, Nutrition and Dietetics, Hematology and Molecular Biology, having authored 24 papers that have together received 470 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (17 papers), Genetic Syndromes and Imprinting (9 papers), Fibroblast Growth Factor Research (8 papers), Genetic and Kidney Cyst Diseases (3 papers), Iron Metabolism and Disorders (3 papers), Magnesium in Health and Disease (3 papers), Biomedical Research and Pathophysiology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Nephrology (245 citations), Hematology (78 citations), Nutrition and Dietetics (68 citations), Cancer Research (59 citations) and Genetics (43 citations). Pu Ni has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Kenneth E. White, Megan L. Noonan, Erica L. Clinkenbeard, Matthew R. Allen, Rafiou Agoro, Julia M. Hum, Elizabeth A. Swallow, Taryn A. Cass, Teresita Bellido and Enjun Xie. Their work appears in journals such as Journal of Bone and Mineral Research, Kidney International, Advanced Science, Bone and Frontiers in Endocrinology.

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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