M.T. Peng

47 papers receiving 1.1k citations

Peers

M.T. Peng
Comparison fields: 5 of 114
  • Behavioral Neuroscience 215
  • Endocrine and Autonomic Systems 177
  • Reproductive Medicine 205
  • Cellular and Molecular Neuroscience 224
  • Physiology 309
Replace Francesca Romana Patacchioli with:
Francesca Romana Patacchioli Italy
Ana Paula Tanno Brazil
E Ferrari Italy
Scott Manaker United States
Harumi Hotta Japan
François Cesselin France
Song T. Yao Australia
Haluk Keleştimur Türkiye
B Baranowska Poland
Nazan Uysal Türkiye
M.T. Peng relative to Francesca Romana Patacchioli Italy Francesca Romana Patacchioli's profile →
Citations per field
00.5×2.6×
Francesca Romana Patacchioli · 1×
Citations per year

Countries citing papers authored by M.T. Peng

Since Specialization
Citations

This map shows the geographic impact of M.T. 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 M.T. Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Peng more than expected).

Fields of papers citing papers by M.T. Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prediction of blood volume and adiposity in man from body weight and cube of height.
1956173
2
Prediction of total adiposity from skinfolds and the curvilinear relationship between external and internal adiposity.
1956158
3
Role of dopamine autoxidation, hydroxyl radical generation, and calcium overload in underlying mechanisms involved in MPTP-induced parkinsonism.
1993156
4 197287
5 197882
6 198447
7 198247
8 196335
9 198134
10 197534
11 197331
12 199529
13 199124
14 200622
15 198621
16 197620
17 198019
18 197319
19 199516
20 198316

About M.T. Peng

M.T. Peng is a scholar working on Behavioral Neuroscience, Reproductive Medicine, Social Psychology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (18 papers), Hypothalamic control of reproductive hormones (12 papers), Neuroendocrine regulation and behavior (11 papers), Ovarian function and disorders (5 papers), Birth, Development, and Health (5 papers), Adipose Tissue and Metabolism (5 papers), Diet and metabolism studies (4 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Behavioral Neuroscience (215 citations), Endocrine and Autonomic Systems (177 citations), Reproductive Medicine (205 citations), Cellular and Molecular Neuroscience (224 citations) and Physiology (309 citations). M.T. Peng has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Hui Fang, Teh-Yang Huang, Thomas H. Allen, Chuang C. Chiueh, Hideaki Miyake, Chung‐I Chang, Chin‐Chen Chang, Chih‐Tien Wang, Hseng‐Kuang Hsu and Yuan‐Feen Tsai. Their work appears in journals such as Gerontology, Physiology & Behavior, Neuroendocrinology, American Journal of Physiology-Legacy Content and Experimental Biology and Medicine.

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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