Ning Zhang

18.6k citations
182 papers · 6.6k indexed · 2 hit papers · h-index 39

Ning Zhang

172 papers receiving 6.4k citations

Hit Papers

Internet-Accessible DNA Sequence Database for Identifying...4572004202620112018250500750

Peers

Ning Zhang
Comparison fields: 5 of 167
  • Cell Biology 3.4k
  • Plant Science 4.2k
  • Ecology, Evolution, Behavior and Systematics 787
  • Endocrinology 166
  • Pharmacology 457
Replace Orlando Petrini with:
Orlando Petrini Switzerland
Nélson Lima Portugal
Kerstin Voigt Germany
Petr Karlovský Germany
Ailsa D. Hocking Australia
Khaled A. El‐Tarabily United Arab Emirates
Carlos A. Rosa Brazil
Jianping Xu Canada
Michael Wisniewski United States
L. V. Madden United States
Ning Zhang relative to Orlando Petrini Switzerland Orlando Petrini's profile →
Citations per field
00.5×3.2×
Orlando Petrini · 1×
Citations per year

Countries citing papers authored by Ning Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20247
4 20241
5 20241
6 20241
7 20231
8 20228
9 20212
10 201946
11 20199
12 2019101
13 201862
14 201691
15 20168
16 201423
17 201354
18 201318
19
Cloning,bioinformatics and expression analysis of ethylene response factor gene of potato
20131
20
Plant growth, nodule nitrogenase activity and phyllode nutrient content in Acacia mangium.
20001

About Ning Zhang

Ning Zhang is a scholar working on Cell Biology, Plant Science and Endocrinology, having authored 182 papers that have together received 6.6k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (60 papers), Mycorrhizal Fungi and Plant Interactions (34 papers), Yeasts and Rust Fungi Studies (16 papers), Plant Disease Resistance and Genetics (13 papers), Plant-Microbe Interactions and Immunity (11 papers), Mycotoxins in Agriculture and Food (11 papers), Turfgrass Adaptation and Management (9 papers) and Horticultural and Viticultural Research (9 papers). The work is most often cited by research in Cell Biology (3.4k citations), Plant Science (4.2k citations) and Ecology, Evolution, Behavior and Systematics (787 citations). Ning Zhang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include David M. Geiser, Kerry O’Donnell, J.M. Holtzman, Jing Luo, Seogchan Kang, Deanna A. Sutton, Narayanan Veeraraghavan, Izabela Makałowska, Gretchen A. Kuldau and Todd J. Ward. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Trends in Ecology & Evolution.

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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