Peng Peng

456 total citations
31 papers, 306 citations indexed

About

Peng Peng is a scholar working on Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Surgery. According to data from OpenAlex, Peng Peng has authored 31 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Cognitive Neuroscience and 5 papers in Surgery. Recurrent topics in Peng Peng's work include Functional Brain Connectivity Studies (5 papers), Ovarian cancer diagnosis and treatment (3 papers) and Pelvic floor disorders treatments (2 papers). Peng Peng is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Ovarian cancer diagnosis and treatment (3 papers) and Pelvic floor disorders treatments (2 papers). Peng Peng collaborates with scholars based in China and United States. Peng Peng's co-authors include Shuangkun Wang, Dan Xiao, Tao Jiang, Kaiyong Yang, Mary Mehlig, Marı́a Méndez, Zhe Zhang, Jun Zhou, Simin Liu and D Filpula and has published in prestigious journals such as Annals of Oncology, Annals of Surgical Oncology and Protein Engineering Design and Selection.

In The Last Decade

Peng Peng

29 papers receiving 296 citations

Peers

Peng Peng
Comparison fields: 5 of 76
  • Molecular Biology 93
  • Radiology, Nuclear Medicine and Imaging 77
  • Cognitive Neuroscience 76
  • Sensory Systems 44
  • Biomedical Engineering 34
Replace Tereza Gabelić with:
Tereza Gabelić Croatia
Sylvia Klineova United States
Chih‐Chin Heather Hsu Taiwan
Francesco Cavallieri Italy
Daniel A. Adelberg United States
Ann K Harvey United Kingdom
Michelle Fabian United States
Elisabeth B. Lucassen United States
Kee Duk Park South Korea
Iram Ahmad United States
Tereza Gabelić Croatia View profile →
Citations per field, relative to Peng Peng
Peng Peng · 1×
Citations per year, relative to Peng Peng
Peng Peng · 1×

Countries citing papers authored by Peng Peng

Since Specialization
Citations

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

Fields of papers citing papers by Peng Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Peng. A scholar is included among the top collaborators of Peng Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Peng. Peng Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 5
4 9
5 4
6 2
7 7
8 23
9 11
10 1
11 1
12 3
13 2
14
Association of compartment defects in anorectal and pelvic floor dysfunction with female outlet obstruction constipation (OOC) by dynamic MR defecography.
10
15 18
16 33
17 3
18
[Correlates of cognitive impairment in patients with leukoaraiosis by magnetic resonance spectroscopy].
1
19 9
20 86

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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