Takeshi Goromaru

40 total papers · 480 total citations
34 papers, 398 citations indexed

About

Takeshi Goromaru is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Takeshi Goromaru has authored 34 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Pharmacology. Recurrent topics in Takeshi Goromaru's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Takeshi Goromaru is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Takeshi Goromaru collaborates with scholars based in Japan, United States and France. Takeshi Goromaru's co-authors include Kenji Hashimoto, Ryozo Oishi, Toshiaki Sendo, Yoshinori Itoh, Takahisa Yano, Toshio Hirakawa, Hitoo Nakano, Naoko Sakai, Masaki Otagiri and Eijiro Kojima and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Carbohydrate Polymers and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Takeshi Goromaru

34 papers receiving 377 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Takeshi Goromaru	131	81	51	48	43	34	398
Hui Bi	125 1.0×	34 0.4×	16 0.3×	30 0.6×	37 0.9×	32	389
Maryam Golmohammadi	142 1.1×	47 0.6×	13 0.3×	34 0.7×	39 0.9×	43	424
Sattam Khulaif Alenezi	129 1.0×	20 0.2×	25 0.5×	17 0.4×	37 0.9×	29	354
Joseph M. Grindel	134 1.0×	15 0.2×	19 0.4×	17 0.4×	71 1.7×	22	438
Kunihiro Sasahara	94 0.7×	41 0.5×	12 0.2×	23 0.5×	75 1.7×	22	408
J. P. Giroud	103 0.8×	34 0.4×	87 1.7×	49 1.0×	82 1.9×	30	394
Wael M. Elsaed	139 1.1×	31 0.4×	25 0.5×	26 0.5×	32 0.7×	40	415
Guangwei He	125 1.0×	18 0.2×	38 0.7×	38 0.8×	51 1.2×	37	361
Lakshmi Vineela Nalla	185 1.4×	33 0.4×	20 0.4×	40 0.8×	30 0.7×	23	435
Hongyan Zhang	133 1.0×	28 0.3×	18 0.4×	23 0.5×	38 0.9×	34	380

Countries citing papers authored by Takeshi Goromaru

Since Specialization

Citations

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

Fields of papers citing papers by Takeshi Goromaru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Goromaru

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Goromaru. A scholar is included among the top collaborators of Takeshi Goromaru 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 Takeshi Goromaru. Takeshi Goromaru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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