Go Ishimaru

518 total citations
2 papers, 11 citations indexed

About

Go Ishimaru is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Go Ishimaru has authored 2 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 1 paper in Surgery and 1 paper in Molecular Biology. Recurrent topics in Go Ishimaru's work include Diagnosis and treatment of tuberculosis (1 paper), Neutropenia and Cancer Infections (1 paper) and Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper). Go Ishimaru is often cited by papers focused on Diagnosis and treatment of tuberculosis (1 paper), Neutropenia and Cancer Infections (1 paper) and Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper). Go Ishimaru collaborates with scholars based in Japan. Go Ishimaru's co-authors include Miho Hayashi, Fumio Yamagishi, Koya Ono, Ken T. Murata, Takashi Ito, Toshiyuki Izumo and Yuka Sasaki and has published in prestigious journals such as Internal Medicine and PubMed.

In The Last Decade

Go Ishimaru

2 papers receiving 11 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Go Ishimaru Japan	2	5	5	4	4	3	2	11
Giuseppina Pessolano Italy	3	6 1.2×	8 1.6×	4 1.0×			3	16
Danyal Ladha Canada	3	4 0.8×		4 1.0×	3 0.8×	3 1.0×	5	17
Katherine Wesseling Perry United States	2	5 1.0×	11 2.2×		3 0.8×	6 2.0×	2	17
Julia Lanznaster Germany	1	3 0.6×	2 0.4×	9 2.3×		3 1.0×	3	12
Zlatko Fras Slovenia	2	8 1.6×	3 0.6×	1 0.3×	5 1.3×	1 0.3×	5	22
Lionel Mazzoleni Belgium	2	2 0.4×	4 0.8×	11 2.8×	1 0.3×	6 2.0×	3	15
Kadi-Ann Rose Austria	2	3 0.6×		2 0.5×	4 1.0×		2	25
Paul Metz Netherlands	1	3 0.6×		2 0.5×	7 1.8×	2 0.7×	2	13
Shaurya Dhingra United States	4		2 0.4×	5 1.3×	3 0.8×	2 0.7×	8	20
Mykola Kopytsya Ukraine	3	2 0.4×	3 0.6×		4 1.0×	1 0.3×	16	17

Countries citing papers authored by Go Ishimaru

Since Specialization

Citations

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

Fields of papers citing papers by Go Ishimaru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Ishimaru

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

All Works

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2 of 2 papers shown

1.

Ono, Koya, Go Ishimaru, Miho Hayashi, et al.. (2017). The Imaging Diagnosis of Less Advanced Cases of Cardiac Amyloidosis: The Relative Apical Sparing Pattern. Internal Medicine. 56(3). 315–319. 4 indexed citations

2.

Yamagishi, Fumio, et al.. (2004). [A study on cases developed pulmonary tuberculosis after receiving gastrectomy].. PubMed. 79(5). 355–9. 7 indexed citations

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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