Na Gan

1.7k citations
55 papers · 1.3k · h-index 22

Impact in

Papers in

    • Protein Interaction Studies and Fluorescence Analysis 16
    • Protein purification and stability 4
    • Nanoparticle-Based Drug Delivery 7

Na Gan

55 papers receiving 1.3k citations

Peers

Na Gan
Comparison fields: 5 of 114
  • Pharmaceutical Science 125
  • Cancer Research 288
  • Biomaterials 133
  • Molecular Biology 617
  • Water Science and Technology 115
Replace Can Peng with:
Can Peng China
Ran Lu China
Wenli Zhang China
Roy P. Planalp United States
Vladimir Dobričić Serbia
Catia Morelli Italy
Marzia Di Donato Italy
Giovanni Galasso Italy
Pia Giovannelli Italy
Na Gan relative to Can Peng China Can Peng's profile →
Citations per field
00.5×5.9×
Can Peng · 1×
Citations per year

Countries citing papers authored by Na Gan

Since Specialization
Citations

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

Fields of papers citing papers by Na Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013126
2 2012121
3 2013100
4 201987
5 201873
6 201858
7 201948
8 201945
9 201942
10 201840
11 201934
12 202132
13 201932
14 201627
15 202225
16 201924
17 201824
18 202423
19 202023
20 201822

About Na Gan

Na Gan is a scholar working on Molecular Biology, Biomaterials, Cancer Research, Oncology and Food Science, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (16 papers), Nanoparticle-Based Drug Delivery (7 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers), MicroRNA in disease regulation (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Polysaccharides Composition and Applications (4 papers), Protein purification and stability (4 papers) and Drug Solubulity and Delivery Systems (4 papers). The work is most often cited by research in Pharmaceutical Science (125 citations), Cancer Research (288 citations), Biomaterials (133 citations), Molecular Biology (617 citations) and Water Science and Technology (115 citations). Na Gan has collaborated with scholars based in China and Egypt. Frequent co-authors include Hui Li, Qiaomei Sun, Fei Yin, Jing Peng, Peixiao Tang, Ludan Zhao, Huimin Kong, Ahmed Omran, Zili Suo and Fang He. Their work appears in journals such as RSC Advances, International Journal of Biological Macromolecules, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Food Chemistry and Carbohydrate Polymers.

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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