Jun Yan

2.3k citations
108 papers · 1.6k · h-index 21

Impact in

Papers in

Jun Yan

98 papers receiving 1.4k citations

Peers

Jun Yan
Comparison fields: 5 of 111
  • Nuclear and High Energy Physics 391
  • Family Practice 53
  • Organizational Behavior and Human Resource Management 211
  • Management of Technology and Innovation 118
  • Oncology 174
Replace Rama K. Jayanti with:
Rama K. Jayanti United States
Hongyan Wu China
Patrick R. Brown Netherlands
William L. Davis United States
Cyril F. Chang United States
Julia L. Lin Taiwan
Jack L. Franklin United States
Kanika Kapur United States
Tracey S. Danaher Australia
Richard E. T. Smith United States
Jun Yan relative to Rama K. Jayanti United States Rama K. Jayanti's profile →
Citations per field
00.5×10×20×34.8×
Rama K. Jayanti · 1×
Citations per year

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006145
2 200586
3 200479
4 201077
5 201467
6 200566
7 201049
8 201345
9 201543
10 202140
11 201837
12 200336
13 201032
14 202130
15 202129
16 202429
17 202328
18 201327
19 202326
20 201123

About Jun Yan

Jun Yan is a scholar working on Nuclear and High Energy Physics, Oncology, Management of Technology and Innovation, Organizational Behavior and Human Resource Management and Psychiatry and Mental health, having authored 108 papers that have together received 1.6k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (45 papers), Cancer survivorship and care (17 papers), Schizophrenia research and treatment (5 papers), Entrepreneurship Studies and Influences (5 papers), Cardiac Health and Mental Health (4 papers), Lymphatic System and Diseases (3 papers), Functional Brain Connectivity Studies (3 papers) and Family Business Performance and Succession (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (391 citations), Family Practice (53 citations), Organizational Behavior and Human Resource Management (211 citations), Management of Technology and Innovation (118 citations) and Oncology (174 citations). Jun Yan has collaborated with scholars based in China, United States and France. Frequent co-authors include Ritch L. Sorenson, Yan Li, James G. Hunt, Judy P. Strauss, Olukemi O. Sawyerr, Yuening Zhang, Liming You, Shangyi Jin, Lijuan Zhang and Jingjing Zhou. Their work appears in journals such as Journal of High Energy Physics, European Journal of Oncology Nursing, Supportive Care in Cancer, International Journal of Nursing Practice and The European Physical Journal C.

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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