Jay Han

3.4k citations
50 papers · 2.7k · h-index 28

Impact in

Papers in

Jay Han

50 papers receiving 2.7k citations

Peers

Jay Han
Comparison fields: 5 of 111
  • Radiology, Nuclear Medicine and Imaging 838
  • Neurology 518
  • Food Science 526
  • Nutrition and Dietetics 249
  • Rheumatology 214
Replace J. de Jong with:
J. de Jong Netherlands
Tetsuya Maeda Japan
Anne Donnet France
Sun‐Young Oh South Korea
Dominique Moyse France
Seong Ho Kim South Korea
Peter Stoll Germany
Soo Hyun Cho South Korea
Santiago Angulo Spain
Nan Li China
Jay Han relative to J. de Jong Netherlands J. de Jong's profile →
Citations per field
00.5×6.4×
J. de Jong · 1×
Citations per year

Countries citing papers authored by Jay Han

Since Specialization
Citations

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

Fields of papers citing papers by Jay Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007259
2 2008187
3 2014183
4 2019135
5 2008124
6 2012115
7 2018101
8 200895
9 201094
10 200786
11 201783
12 201182
13 201077
14 201176
15 201071
16 201070
17 201968
18 202163
19 201258
20 201658

About Jay Han

Jay Han is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Plant Science, Food Science and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 2.7k indexed citations. Recurring topics across this work include Proteins in Food Systems (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Phytase and its Applications (5 papers), Advanced MRI Techniques and Applications (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Respiratory Support and Mechanisms (4 papers), Food composition and properties (4 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (838 citations), Neurology (518 citations), Food Science (526 citations), Nutrition and Dietetics (249 citations) and Rheumatology (214 citations). Jay Han has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Joseph A. Fisher, David J. Mikulis, Julien Poublanc, Adrian P. Crawley, Daniel M. Mandell, Marat Slessarev, Alexandra Mardimae, Michael Tymianski, Marcela Jarpa–Parra and Zhigang Tian. Their work appears in journals such as Stroke, Journal of Magnetic Resonance Imaging, The Journal of Physiology, Food Hydrocolloids and Investigative Ophthalmology & Visual Science.

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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