Sunggoan Ji

1.7k citations
20 papers · 1.3k indexed · h-index 13
Topics
Trace Elements in Health (8 papers)Neuroscience and Neuropharmacology Research (5 papers)Stress Responses and Cortisol (4 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Sunggoan Ji

20 papers receiving 1.3k citations

Peers

Sunggoan Ji
Comparison fields: 5 of 110
  • Physiology 431
  • Nutrition and Dietetics 358
  • Molecular Biology 331
  • Cellular and Molecular Neuroscience 271
  • Endocrine and Autonomic Systems 261
Replace Nicholas T. Bello with:
Nicholas T. Bello United States
Natalie R. Lenard United States
Jerry A. Stitzel United States
Jeffrey G. Edwards United States
Yosefa Avraham Israel
Giuseppe D’Agostino Italy
Xavier Fioramonti France
Camron D. Bryant United States
Aaron C. Pawlyk United States
Sunggoan Ji relative to Nicholas T. Bello United States Nicholas T. Bello's profile →
Citations per field
00.5×1.5×
Nicholas T. Bello · 1×
Citations per year

Countries citing papers authored by Sunggoan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Sunggoan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunggoan Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Sunggoan Ji. A scholar is included among the top collaborators of Sunggoan Ji 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 Sunggoan Ji. Sunggoan Ji 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
#WorkIndexed citations
1 1
2 11
3 11
4 45
5 25
6 40
7 2
8 64
9 10
10 12
11 100
12 61
13 7
14 236
15 67
16 266
17 45
18 89
19 91
20 101

About Sunggoan Ji

Sunggoan Ji is a scholar working on Behavioral Neuroscience, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Trace Elements in Health (8 papers), Neuroscience and Neuropharmacology Research (5 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (261 citations), Sensory Systems (162 citations) and Behavioral Neuroscience (107 citations). Sunggoan Ji has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Stuart Maudsley, Bronwen Martin, Mark P. Mattson, John H. Weiss, Huan Cai, Yuliya V. Medvedeva, Wei‐na Cong, Sarah M. Rothman, Yu‐Kyong Shin and Hong Yin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

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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