H Nakagawa

2.2k citations
45 papers · 1.7k indexed · 1 hit paper · h-index 21

H Nakagawa

43 papers receiving 1.6k citations

Hit Papers

A simple method to estimate populational 24-h urinary sod...5202002202620102018100200300400500

Peers

H Nakagawa
Comparison fields: 5 of 116
  • Nutrition and Dietetics 680
  • Health, Toxicology and Mutagenesis 440
  • Nephrology 174
  • Public Health, Environmental and Occupational Health 542
  • Cardiology and Cardiovascular Medicine 363
Replace Handong Yang with:
Handong Yang China
Rudolph Schutte South Africa
Juan Carlos Martı́n-Escudero Spain
Anna Z. Pollack United States
Xiulou Li China
Lulu Song China
Bing Han China
Zhaoxue Yin China
Mitsumasa Umesawa Japan
Fangzhen Xia China
H Nakagawa relative to Handong Yang China Handong Yang's profile →
Citations per field
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Handong Yang · 1×
Citations per year

Countries citing papers authored by H Nakagawa

Since Specialization
Citations

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

Fields of papers citing papers by H Nakagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201477
2 201420
3 201154
4 201035
5 200922
6 200733
7 20065
8 200694
9 200612
10 200627
11 200428
12 200386
13 200216
14
A simple method to estimate populational 24-h urinary sodium and potassium excretion using a casual urine specimenbreakdown →
2002520
15 2002137
16
The Japan Work Stress and Health Cohort Study Group. Socioeconomic status, workplace characteristics and plasma fibrinogen level of Japanese male employees
20014
17 199926
18 19981
19 19904
20 198222

About H Nakagawa

H Nakagawa is a scholar working on Nutrition and Dietetics, Anatomy and Health, Toxicology and Mutagenesis, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (9 papers), Sodium Intake and Health (8 papers), Heavy Metal Exposure and Toxicity (5 papers), Obesity, Physical Activity, Diet (4 papers), Blood Pressure and Hypertension Studies (3 papers), Alcohol Consumption and Health Effects (3 papers), Air Quality and Health Impacts (2 papers) and Workplace Health and Well-being (2 papers). The work is most often cited by research in Nutrition and Dietetics (680 citations), Health, Toxicology and Mutagenesis (440 citations) and Nephrology (174 citations). H Nakagawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Katsuyuki Miura, Hirotsugu Ueshima, Tsunehiko Tanaka, Tomonori Okamura, Takashi Kadowaki, T. Hashimoto, Yuko Morikawa, Muneko Nishijo, Masao Ishizaki and Teruhiko Kido. Their work appears in journals such as Hypertension, Diabetologia and International Journal of Epidemiology.

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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