Haruka Kobayashi

457 citations
19 papers · 295 indexed · h-index 6

Haruka Kobayashi

17 papers receiving 291 citations

Peers

Haruka Kobayashi
Comparison fields: 5 of 74
  • Applied Psychology 58
  • Family Practice 18
  • General Health Professions 182
  • Endocrinology, Diabetes and Metabolism 100
  • Nephrology 17
Replace Xianchao Xiao with:
Xianchao Xiao China
Andrew Neil United Kingdom
Mike Grady United States
Rajiv Jayasena Australia
Christina Dudley United Kingdom
Corey Bradley United States
Gabriele Jakl Austria
Deanna J. M. Isaman United States
Satish Kumar David Saudi Arabia
Saeed Ahmed Mahar Pakistan
Haruka Kobayashi relative to Xianchao Xiao China Xianchao Xiao's profile →
Citations per field
00.5×3.4×
Xianchao Xiao · 1×
Citations per year

Countries citing papers authored by Haruka Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Haruka Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20241
2 20240
3 20241
4 20231
5 20233
6 20231
7 20230
8 20226
9 20184
10 201732
11 20156
12 201530
13 2014154
14
Finding Load Profile Primitives by using Independent Component Analysis
20131
15
[Efficacy of intravenous myocardial contrast echocardiography for assessment of perfusion area of the heart in mice].
20033
16 200148
17 20011
18 20012
19 20011

About Haruka Kobayashi

Haruka Kobayashi is a scholar working on Family Practice, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 295 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (5 papers), Ultrasound and Hyperthermia Applications (4 papers), Mobile Health and mHealth Applications (4 papers), Nutritional Studies and Diet (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Infectious Diseases and Tuberculosis (2 papers) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Applied Psychology (58 citations), Family Practice (18 citations) and General Health Professions (182 citations). Haruka Kobayashi has collaborated with scholars based in Japan, Indonesia and Egypt. Frequent co-authors include Kayo Waki, Hideo Fujita, Kazuhiko Ohe, Takashi Kadowaki, Shigeko Kato, Yuji Uchimura, Eiji Aramaki, Fuminobu Ishikura, Kazuhide Takeuchi and Junichi Yoshikawa. Their work appears in journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

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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