M. Nishida

31 papers receiving 438 citations

Peers

M. Nishida
Comparison fields: 5 of 93
  • Analytical Chemistry 112
  • Bioengineering 41
  • Spectroscopy 116
  • Endocrinology, Diabetes and Metabolism 67
  • Pharmacology 66
Replace Anja Mitschke with:
Anja Mitschke Germany
Masatoki Katayama Japan
Shinzo Tanabe Japan
Nelci F. Höehr Brazil
A Cailleux France
Fabio Savini Italy
Yunqiu Yu China
E. Moro Italy
Bonnie Mei-Wah Fong China
M. Nishida relative to Anja Mitschke Germany Anja Mitschke's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Nishida

Since Specialization
Citations

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

Fields of papers citing papers by M. Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200299
2 200091
3 199064
4 200030
5 200128
6 198215
7 198914
8 199214
9 198911
10 198711
11
Purification and physicochemical properties of recombinant human serum albumin
199311
12 199110
13 199210
14 19887
15
Differential effects of methylmercuric chloride and mercuric chloride on oxidation and iodination reactions catalyzed by thyroid peroxidase.
19907
16 20034
17 19934
18 19864
19 20083
20
A case of type 1 diabetic patient who attempted suicide by overdose injection of insulin degludec and lispro
20153

About M. Nishida

M. Nishida is a scholar working on Molecular Biology, Pharmacology, Health, Toxicology and Mutagenesis, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 34 papers that have together received 465 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (4 papers), Adenosine and Purinergic Signaling (4 papers), Pancreatic function and diabetes (3 papers), Trace Elements in Health (3 papers), Thyroid Disorders and Treatments (3 papers), Mercury impact and mitigation studies (3 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Analytical Chemistry (112 citations), Bioengineering (41 citations), Spectroscopy (116 citations), Endocrinology, Diabetes and Metabolism (67 citations) and Pharmacology (66 citations). M. Nishida has collaborated with scholars based in Japan. Frequent co-authors include Jun‐ichi Kawada, Tsutomu Ohno, Eiichi Mikami, Yusuke Yoshimura, Hiroshi Matsumoto, Hiroshi Matsumoto, Mamoru Nukatsuka, Muroto Sofue, Isao Miyakawa and Kayo Fujisawa. Their work appears in journals such as Journal of Endocrinology, Journal of Pharmaceutical and Biomedical Analysis, Biochemical Journal, Cellular and Molecular Life Sciences and Die Naturwissenschaften.

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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