Ping Che

3.5k citations
46 papers · 2.7k indexed · 1 hit paper · h-index 23

Ping Che

42 papers receiving 2.7k citations

Hit Papers

Leaf transformation for efficient random integration and ...902023202620242025255075

Peers

Ping Che
Comparison fields: 5 of 106
  • Plant Science 1.8k
  • Cell Biology 541
  • Molecular Biology 1.9k
  • Biotechnology 229
  • Biochemistry 80
Replace Yukihisa Shimada with:
Yukihisa Shimada Japan
Raju Datla Canada
Karolina M. Pajerowska‐Mukhtar United States
Young-Hee Cho South Korea
Nicole Bechtold France
Wei Su China
Chang Ho Kang South Korea
Nozomu Koizumi Japan
Chae Oh Lim South Korea
Maozhi Ren China
Ping Che relative to Yukihisa Shimada Japan Yukihisa Shimada's profile →
Citations per field
00.5×1.7×
Yukihisa Shimada · 1×
Citations per year

Countries citing papers authored by Ping Che

Since Specialization
Citations

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

Fields of papers citing papers by Ping Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20251
5 20250
6
Leaf transformation for efficient random integration and targeted genome modification in maize and sorghumbreakdown →
202390
7 20232
8 202317
9 202271
10 202153
11 20216
12 20192
13 20193
14 201673
15 20155
16 201146
17 200814
18 200817
19 2002118
20 200027

About Ping Che

Ping Che is a scholar working on Neurology, Plant Science, Cell Biology, Biochemistry and Biotechnology, having authored 46 papers that have together received 2.7k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (10 papers), Photosynthetic Processes and Mechanisms (9 papers), Plant Molecular Biology Research (9 papers), Biotin and Related Studies (6 papers), Dementia and Cognitive Impairment Research (5 papers), Plant Reproductive Biology (5 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Genetically Modified Organisms Research (4 papers). The work is most often cited by research in Plant Science (1.8k citations), Cell Biology (541 citations), Molecular Biology (1.9k citations), Biotechnology (229 citations) and Biochemistry (80 citations). Ping Che has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Stephen H. Howell, Renu Srivastava, Jian‐Xiang Liu, Sonia Lall, Dan Nettleton, Basil J. Nikolau, Eve Syrkin Wurtele, Derek J. Gingerich, Marc C. Albertsen and Andrew J. Cary. Their work appears in journals such as PLANT PHYSIOLOGY, The Plant Journal, Plant Signaling & Behavior, Plant Biotechnology Journal and Translational Psychiatry.

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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