Mitsufumi Wada

535 total citations
10 papers, 465 citations indexed

About

Mitsufumi Wada is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Mitsufumi Wada has authored 10 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Cancer Research. Recurrent topics in Mitsufumi Wada's work include Growth Hormone and Insulin-like Growth Factors (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Mitsufumi Wada is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Mitsufumi Wada collaborates with scholars based in Japan, Germany and Pakistan. Mitsufumi Wada's co-authors include Masaru Honjo, Issei Komuro, Michio Takahashi, Kohjiro Ueki, Toshiro Fujita, Hiroyuki Tamemoto, Yasuo Akanuma, Toshimasa Yamauchi, Kazuyuki Tobe and Tokiharu Takahashi and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mitsufumi Wada

10 papers receiving 453 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mitsufumi Wada Japan 9 264 187 155 78 64 10 465
W. John Langlois United States 11 582 2.2× 101 0.5× 129 0.8× 38 0.5× 42 0.7× 13 686
Eun Suk Hwang South Korea 10 260 1.0× 134 0.7× 213 1.4× 60 0.8× 113 1.8× 11 496
Claire Worrall Sweden 12 339 1.3× 144 0.8× 94 0.6× 94 1.2× 28 0.4× 17 513
Marie-José Blivet-Van Eggelpoël France 7 473 1.8× 102 0.5× 171 1.1× 107 1.4× 42 0.7× 7 653
Kevin J. Basile United States 10 434 1.6× 49 0.3× 248 1.6× 76 1.0× 45 0.7× 10 572
N. Sarath Krishna United Kingdom 7 368 1.4× 122 0.7× 115 0.7× 189 2.4× 25 0.4× 11 691
María C. Díaz Flaqué Argentina 14 299 1.1× 90 0.5× 314 2.0× 108 1.4× 86 1.3× 23 627
Giovanna Allevato Denmark 13 451 1.7× 474 2.5× 336 2.2× 144 1.8× 98 1.5× 18 810
Susanne Lingelbach Germany 10 168 0.6× 128 0.7× 139 0.9× 57 0.7× 36 0.6× 13 348
Emma T. Lundsmith United States 7 320 1.2× 245 1.3× 198 1.3× 160 2.1× 72 1.1× 7 610

Countries citing papers authored by Mitsufumi Wada

Since Specialization
Citations

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

Fields of papers citing papers by Mitsufumi Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsufumi Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsufumi Wada. A scholar is included among the top collaborators of Mitsufumi Wada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mitsufumi Wada. Mitsufumi Wada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Okahashi, Nobuyuki, Fumio Matsuda, Katsunori Yoshikawa, et al.. (2017). Metabolic engineering of isopropyl alcohol‐producing Escherichia coli strains with 13C‐metabolic flux analysis. Biotechnology and Bioengineering. 114(12). 2782–2793. 23 indexed citations
2.
Wada, Mitsufumi, et al.. (2000). The Binding between the Stem Regions of Human Growth Hormone (GH) Receptor Compensates for the Weaker Site 1 Binding of 20-kDa Human GH (hGH) than That of 22-kDa hGH. Journal of Biological Chemistry. 275(21). 15652–15656. 8 indexed citations
3.
Ishikawa, Mayumi, Reiko Horikawa, Noriyuki Katsumata, et al.. (2000). A Novel Specific Bioassay for Serum Human Growth Hormone. The Journal of Clinical Endocrinology & Metabolism. 85(11). 4274–4279. 23 indexed citations
4.
Wada, Mitsufumi, et al.. (1999). The 20-Kilodalton (kDa) Human Growth Hormone (hGH) Differs from the 22-kDa hGH in the Effect on the Human Prolactin Receptor. Endocrinology. 140(9). 3909–3918. 26 indexed citations
5.
6.
Yamauchi, Toshimasa, Kohjiro Ueki, Kazuyuki Tobe, et al.. (1998). Growth Hormone-Induced Tyrosine Phosphorylation of EGF Receptor as an Essential Element Leading to MAP Kinase Activation and Gene Expression. Endocrine Journal. 45(Suppl). S27–S31. 51 indexed citations
7.
Yamauchi, Toshimasa, Kohjiro Ueki, Kazuyuki Tobe, et al.. (1997). Tyrosine phosphorylation of the EGF receptor by the kinase Jak2 is induced by growth hormone. Nature. 390(6655). 91–96. 249 indexed citations
8.
Wada, Mitsufumi, Nobuyuki Itoh, Mitsuhiro Ohta, & Toshisuke Kawasaki. (1992). Characterization of Rat Liver Mannan-Binding Protein Gene1. The Journal of Biochemistry. 111(1). 66–73. 11 indexed citations
9.
Wada, Mitsufumi, Kei‐ichi Ozaki, Nobuyuki Itoh, Ikuo Yamashina, & Toshisuke Kawasaki. (1990). Two Forms of Messenger RNA Encoding Rat Liver Mannan-Binding Protein Are Generated by Differential Utilization of Polyadenylation Sites of One Transcript1. The Journal of Biochemistry. 108(6). 914–917. 3 indexed citations
10.

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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2026