Nianxiang Zhang

8.8k citations
47 papers · 2.1k indexed · h-index 25
  • Hematology top 2%
    • Acute Myeloid Leukemia Research 16
  • Aging top 5%
    • Advanced biosensing and bioanalysis techniques 7
    • DNA Repair Mechanisms 5
    • Advanced Biosensing Techniques and Applications 5
    • Epigenetics and DNA Methylation 4
    • Protein Degradation and Inhibitors 4
    • RNA Interference and Gene Delivery 3
    • PI3K/AKT/mTOR signaling in cancer 3
  • Oncology top 10%

Nianxiang Zhang

46 papers receiving 2.1k citations

Peers

Nianxiang Zhang
Comparison fields: 5 of 105
  • Hematology 457
  • Aging 64
  • Molecular Biology 1.6k
  • Cancer Research 328
  • Oncology 315
Replace Takeshi Inukai with:
Takeshi Inukai Japan
Cornelia Rudolph Germany
Kamil R. Kranc United Kingdom
Blanca Scheijen Netherlands
Silvia Grisendi United States
Deqiang Sun United States
Marc R. Mansour United Kingdom
Fritz Lampert Germany
Thomas Trimarchi United States
Chi Wai Eric So United Kingdom
Nianxiang Zhang relative to Takeshi Inukai Japan Takeshi Inukai's profile →
Citations per field
00.5×1.5×
Takeshi Inukai · 1×
Citations per year

Countries citing papers authored by Nianxiang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Nianxiang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201731
2 201462
3 201430
4 201429
5 201317
6 201319
7 201336
8 20128
9 201218
10 201229
11 201190
12 2011109
13 201097
14 2010416
15 200925
16 20085
17 200771
18 20056
19 2005106
20 200319

About Nianxiang Zhang

Nianxiang Zhang is a scholar working on Hematology, Molecular Biology and Immunology and Allergy, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Advanced biosensing and bioanalysis techniques (7 papers), DNA Repair Mechanisms (5 papers), Advanced Biosensing Techniques and Applications (5 papers), Epigenetics and DNA Methylation (4 papers), Protein Degradation and Inhibitors (4 papers), RNA Interference and Gene Delivery (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Hematology (457 citations), Aging (64 citations) and Molecular Biology (1.6k citations). Nianxiang Zhang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Randy J. Legerski, Steven M. Kornblau, Kevin R. Coombes, Jean‐Pierre J. Issa, Shoudan Liang, Shinji Maegawa, Xiaoyan Lu, George Hinkal, Jiexin Zhang and Hyun Soo Kim. Their work appears in journals such as Blood, PLoS ONE, Clinical Cancer Research, Molecular and Cellular Biology and Bioinformatics.

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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