Jun Yan

2.3k citations
108 papers · 1.6k · h-index 20

Impact in

Papers in

Jun Yan

98 papers receiving 1.4k citations

Peers

Jun Yan
Comparison fields: 5 of 76
  • Family Practice 41
  • Nuclear and High Energy Physics 360
  • Organizational Behavior and Human Resource Management 151
  • Management of Technology and Innovation 83
  • Oncology 131
Replace P.C.P.S. Simões with:
P.C.P.S. Simões Portugal
Rama K. Jayanti United States
Thomas J. Bergmann Germany
Kathleen Watson United States
Jack L. Franklin United States
Tung‐Zong Chang United States
Jane Parker New Zealand
Jennifer Allen United States
Gordon Anthony Wilson United Kingdom
H. S. Kaye United States
Jun Yan relative to P.C.P.S. Simões Portugal P.C.P.S. Simões's profile →
Citations per field
00.5×5×10×15×20.5×
P.C.P.S. Simões · 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 202325
20 201123

About Jun Yan

Jun Yan is a scholar working on Nuclear and High Energy Physics, Oncology, Organizational Behavior and Human Resource Management, Management of Technology and Innovation 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 (13 papers), Entrepreneurship Studies and Influences (4 papers), Schizophrenia research and treatment (3 papers), Cardiac Health and Mental Health (3 papers), Family Business Performance and Succession (3 papers), Mobile Health and mHealth Applications (2 papers) and Job Satisfaction and Organizational Behavior (2 papers). The work is most often cited by research in Family Practice (41 citations), Nuclear and High Energy Physics (360 citations), Organizational Behavior and Human Resource Management (151 citations), Management of Technology and Innovation (83 citations) and Oncology (131 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, Olukemi O. Sawyerr, Judy P. Strauss, Yuening Zhang, Liming You, Shangyi Jin, Lijuan Zhang and Xia Luo. 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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