Go Yano

563 total citations · 1 hit paper
21 papers, 386 citations indexed

About

Go Yano is a scholar working on Accounting, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Go Yano has authored 21 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Accounting, 12 papers in Economics and Econometrics and 4 papers in Strategy and Management. Recurrent topics in Go Yano's work include Corporate Finance and Governance (16 papers), Working Capital and Financial Performance (12 papers) and Firm Innovation and Growth (10 papers). Go Yano is often cited by papers focused on Corporate Finance and Governance (16 papers), Working Capital and Financial Performance (12 papers) and Firm Innovation and Growth (10 papers). Go Yano collaborates with scholars based in Japan, China and United States. Go Yano's co-authors include Gang Xu, Dongyang Zhang, Ruiting Wang, Xue Wang and Haiqing Hu and has published in prestigious journals such as Journal of Economic Behavior & Organization, Journal of Comparative Economics and China Economic Review.

In The Last Decade

Go Yano

18 papers receiving 371 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

How does anti-corruption affect corporate innovation? Evidence from recent anti-corruption efforts in China

2016 253 citations Gang Xu, Go Yano Journal of Comparative Economics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Go Yano Japan	6	181	176	174	104	87	21	386
Julien Hanoteau France	7	169 0.9×	100 0.6×	169 1.0×	46 0.4×	96 1.1×	23	339
Judy Yang United States	8	83 0.5×	113 0.6×	150 0.9×	36 0.3×	54 0.6×	23	285
Łukasz Goczek Poland	9	146 0.8×	48 0.3×	228 1.3×	52 0.5×	152 1.7×	36	407
Jiaren Pang China	8	86 0.5×	235 1.3×	197 1.1×	73 0.7×	108 1.2×	18	410
Shih‐Ying Wu Taiwan	9	83 0.5×	61 0.3×	242 1.4×	117 1.1×	37 0.4×	13	406
Daniel Traça Belgium	7	105 0.6×	119 0.7×	255 1.5×	59 0.6×	50 0.6×	16	367
Walter Steingress France	10	95 0.5×	243 1.4×	266 1.5×	138 1.3×	21 0.2×	16	578
Qianqian Huang Hong Kong	7	64 0.4×	314 1.8×	107 0.6×	143 1.4×	27 0.3×	19	410
Roseline Nyakerario Misati Kenya	12	181 1.0×	101 0.6×	390 2.2×	42 0.4×	185 2.1×	18	586
Hyun‐Jung Nam South Korea	12	29 0.2×	80 0.5×	149 0.9×	70 0.7×	64 0.7×	29	300

Countries citing papers authored by Go Yano

Since Specialization

Citations

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

Fields of papers citing papers by Go Yano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Yano

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yano, Go, et al.. (2024). Effects of listing on the financial behavior of private-sector firms in China. Pacific-Basin Finance Journal. 85. 102329–102329.

2.

Yano, Go, et al.. (2021). The Financial Crisis in 2008, the Stimulus Package, and Distortion of Financial Intermediation in China: A Survival Analysis Approach. Comparative Economic Studies. 64(2). 280–323. 2 indexed citations

3.

Yano, Go, et al.. (2021). Do ‘zombie firms’ emerge among private firms in China? A survival analysis approach that pays attention to the reception of trade credit. Journal of Chinese Economic and Business Studies. 19(1). 1–34. 2 indexed citations

4.

Xu, Gang, et al.. (2021). Anti-corruption, safety compliance and coal mine deaths: Evidence from China. Journal of Economic Behavior & Organization. 188. 458–488. 23 indexed citations

5.

Yano, Go, et al.. (2021). Innovation Spillovers between Domestic Firms in China. Emerging Markets Finance and Trade. 58(4). 1042–1060. 2 indexed citations

6.

Yano, Go, et al.. (2020). Finance, institutions, and innovation activities in China. Economic Systems. 44(4). 100835–100835. 24 indexed citations

7.

Yano, Go, et al.. (2020). Economic and Political Motivations in Debt Finance in China: Bank Lending and Trade Credit Offering. Comparative Economic Studies. 62(4). 590–631. 1 indexed citations

8.

Yano, Go, et al.. (2019). Financing of Physical and Intangible Capital Investments in China. Emerging Markets Finance and Trade. 56(6). 1351–1376. 5 indexed citations

9.

Xu, Gang, Dongyang Zhang, & Go Yano. (2017). Can corruption really function as “protection money” and “grease money”? Evidence from Chinese firms. Economic Systems. 41(4). 622–638. 29 indexed citations

10.

Xu, Gang & Go Yano. (2016). How does anti-corruption affect corporate innovation? Evidence from recent anti-corruption efforts in China. Journal of Comparative Economics. 45(3). 498–519. 253 indexed citations breakdown →

11.

Yano, Go, et al.. (2015). FINANCE AND ENTERPRISE PERFORMANCE: DOES ETHNICITY MAKE A DIFFERENCE?. Hitotsubashi journal of economics. 56(2). 197–212. 1 indexed citations

12.

Yano, Go, et al.. (2015). Two Forms of Trade Credit Finance in China. Comparative Economic Studies. 58(1). 60–92. 4 indexed citations

13.

Yano, Go, et al.. (2014). Factors in the Development of Trade Credit: Case Study of Provinces in China. Emerging Markets Finance and Trade. 50(sup2). 114–134. 4 indexed citations

14.

Yano, Go, et al.. (2012). Property rights, trade credit and entrepreneurial activity in China. Journal of the Asia Pacific Economy. 18(1). 168–192. 8 indexed citations

15.

Yano, Go, et al.. (2011). What caused the ‘marginal-products-of-labour wage gap’ in state-owned enterprises in China during the early-reform era? A reconsideration based on a case study in Henan. Journal of Chinese Economic and Business Studies. 9(3). 217–238.

16.

Yano, Go, et al.. (2011). Efficiency of Trade Credit Finance in China. Comparative Economic Studies. 54(1). 203–225. 13 indexed citations

17.

Yano, Go, et al.. (2010). Trade credit in China in the early 1990s. Economic Change and Restructuring. 43(3). 221–251. 1 indexed citations

18.

Yano, Go, et al.. (2004). EFFICIENCY OF CHINESE TOWNSHIP AND VILLAGE ENTERPRISES IN THE 1990s BASED ON MICRO DATA FOR WUXI CITY, 1991–97. The Developing Economies. 42(3). 421–452. 4 indexed citations

19.

Yano, Go, et al.. (2004). Efficiency of Chinese Township and Village Enterprises and Property Rights in the 1990s: Case Study of Wuxi. Comparative Economic Studies. 46(2). 311–340. 5 indexed citations

20.

Yano, Go, et al.. (2003). Lending Bias during the Financial Reform Period in China seen in Wuxi City microdata, 1993-1996. Medical Entomology and Zoology. 1(2). 1–16.

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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