Ching‐I Peng

2.8k citations
167 papers · 2.1k · h-index 21

Impact in

Papers in

Ching‐I Peng

165 papers receiving 2.0k citations

Peers

Ching‐I Peng
Comparison fields: 5 of 84
  • Ecology, Evolution, Behavior and Systematics 1.3k
  • Plant Science 970
  • Molecular Biology 1.4k
  • Genetics 304
  • Ecological Modeling 33
Replace Evgeny V. Mavrodiev with:
Evgeny V. Mavrodiev United States
Cynthia M. Morton United States
Josep A. Rosselló Spain
Susan Beth Farmer United States
Gregory M. Plunkett United States
Michael R. McKain United States
Rosabelle Samuel Austria
Gang Hao China
Manuel B. Crespo Spain
Gudrun Kadereit Germany
Ching‐I Peng relative to Evgeny V. Mavrodiev United States Evgeny V. Mavrodiev's profile →
Citations per field
00.5×1.5×
Evgeny V. Mavrodiev · 1×
Citations per year

Countries citing papers authored by Ching‐I Peng

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐I Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐I Peng. 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 Ching‐I Peng. The network helps show where Ching‐I Peng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014220
2
Universal primers for amplification and sequencing a noncoding spacer between the atpB and rbcL genes of chloroplast DNA
1998179
3 200158
4 200757
5 201254
6
Synopsis of the Chinese species of Begonia (Begoniaceae), with a reappraisal of sectional delimitation
200239
7 201039
8 201535
9 200032
10 200431
11 200229
12 200126
13 201024
14 201123
15 200522
16 200522
17 200522
18 199022
19 201321
20 201020

About Ching‐I Peng

Ching‐I Peng is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Plant Science, Genetics and Cell Biology, having authored 167 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant and Fungal Species Descriptions (118 papers), Plant Diversity and Evolution (97 papers), Plant Parasitism and Resistance (47 papers), Plant and animal studies (22 papers), Genetic diversity and population structure (12 papers), Plant Pathogens and Fungal Diseases (11 papers), Sesquiterpenes and Asteraceae Studies (10 papers) and Botany, Ecology, and Taxonomy Studies (10 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.3k citations), Plant Science (970 citations), Molecular Biology (1.4k citations), Genetics (304 citations) and Ecological Modeling (33 citations). Ching‐I Peng has collaborated with scholars based in Taiwan, Japan and China. Frequent co-authors include Tzen‐Yuh Chiang, Kuo‐Fang Chung, Yoshiko Kono, Barbara A. Schaal, Rosario Rivera Rubite, Yan Liu, Rimi Repin, Ruth Kiew, Yan Liu and Kazuo Oginuma. Their work appears in journals such as Botanical studies, Phytotaxa, Annals of the Missouri Botanical Garden, American Journal of Botany and Journal of Plant Research.

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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