Manami Tsutsumi

1.3k citations
22 papers · 1.2k · h-index 13

Impact in

Papers in

    • Neurotransmitter Receptor Influence on Behavior 4
    • Neuropeptides and Animal Physiology 4
    • Neuroscience and Neuropharmacology Research 2
    • Receptor Mechanisms and Signaling 6
    • Peroxisome Proliferator-Activated Receptors 4

Manami Tsutsumi

22 papers receiving 1.1k citations

Peers

Manami Tsutsumi
Comparison fields: 5 of 82
  • Reproductive Medicine 469
  • Cellular and Molecular Neuroscience 346
  • Physiology 57
  • Endocrinology, Diabetes and Metabolism 184
  • Genetics 266
Replace Kathleen Horner with:
Kathleen Horner United States
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Citations per field
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Citations per year

Countries citing papers authored by Manami Tsutsumi

Since Specialization
Citations

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

Fields of papers citing papers by Manami Tsutsumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992328
2 1992168
3 2002114
4 198997
5 198994
6 198693
7 199347
8 200745
9 200341
10 199540
11 199037
12 199128
13 200514
14 199012
15 199311
16 200711
17 19957
18 20065
19 19791
20
Parathyroid hormone immunoreactivity in the plasma filtrate of uremic patients.
19821

About Manami Tsutsumi

Manami Tsutsumi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Nephrology and Reproductive Medicine, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Neuropeptides and Animal Physiology (4 papers), Animal Genetics and Reproduction (2 papers), Parathyroid Disorders and Treatments (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Reproductive Medicine (469 citations), Cellular and Molecular Neuroscience (346 citations), Physiology (57 citations), Endocrinology, Diabetes and Metabolism (184 citations) and Genetics (266 citations). Manami Tsutsumi has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include Elaine Sanders‐Bush, Stuart C. Sealfon, James L. Roberts, Boaz Gillo, Robert Peter Millar, Colleen A. Flanagan, Pamela L. Mellon, Ke Dong, Wei Jie Zhou and Michael K. Skinner. Their work appears in journals such as Molecular Endocrinology, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Endocrinology and American Journal of Physiology-Renal Physiology.

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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