Masayuki Henmi

627 total citations
20 papers, 412 citations indexed

About

Masayuki Henmi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Economics and Econometrics. According to data from OpenAlex, Masayuki Henmi has authored 20 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 6 papers in Statistics, Probability and Uncertainty and 3 papers in Economics and Econometrics. Recurrent topics in Masayuki Henmi's work include Statistical Methods and Bayesian Inference (8 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Inference (7 papers). Masayuki Henmi is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Inference (7 papers). Masayuki Henmi collaborates with scholars based in Japan, United States and United Kingdom. Masayuki Henmi's co-authors include J. B. Copas, Mitsuo Yamauchi, Gerald L. Mechanic, Elton P. Katz, Claudia M. Noyes, Shinto Eguchi, Daisuke Yoneoka, Satoshi Hattori, Hiroshi Matsuzoe and Ryo Yoshida and has published in prestigious journals such as Biochemistry, Biometrics and Journal of Clinical Epidemiology.

In The Last Decade

Masayuki Henmi

20 papers receiving 397 citations

Peers

Masayuki Henmi

SPU

BIOMA

RHEUM

Marko Savić Serbia

Paul Zhang United States

Dustin Fife United States

Bruno Bertaccini Italy

Theo Papakonstantinou Australia

Nikolaos G. Bonitsis Greece

Jingshen Wang United States

Richard J. Swartz United States

Uswa Shahzad Canada

Tan T. Nguyen United States

Marko Savić Serbia

Masayuki Henmi

42 ×0.3

39 ×0.5

SPU

2 ×0.0

BIOMA

10 ×0.2

RHEUM

13 ×0.3

Citations per year, relative to Masayuki Henmi Masayuki Henmi (= 1×) peers Marko Savić

Countries citing papers authored by Masayuki Henmi

Since Specialization

Citations

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

Fields of papers citing papers by Masayuki Henmi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Henmi

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

All Works

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20 of 20 papers shown

Henmi, Masayuki, Satoshi Hattori, & Tim Friede. (2021). A confidence interval robust to publication bias for random‐effects meta‐analysis of few studies. Research Synthesis Methods. 12(5). 674–679. 1 indexed citations

Yoneoka, Daisuke & Masayuki Henmi. (2019). Clinical heterogeneity in random‐effect meta‐analysis: Between‐study boundary estimate problem. Statistics in Medicine. 38(21). 4131–4145. 4 indexed citations

Fujisawa, Hironori, et al.. (2018). A bias‐corrected estimator in multiple imputation for missing data. Statistics in Medicine. 37(23). 3373–3386. 9 indexed citations

Yoneoka, Daisuke & Masayuki Henmi. (2017). Meta‐analytical synthesis of regression coefficients under different categorization scheme of continuous covariates. Statistics in Medicine. 36(27). 4336–4352. 4 indexed citations

Yoneoka, Daisuke & Masayuki Henmi. (2016). Synthesis of linear regression coefficients by recovering the within‐study covariance matrix from summary statistics. Research Synthesis Methods. 8(2). 212–219. 6 indexed citations

Yoneoka, Daisuke, Masayuki Henmi, Norie Sawada, & Manami Inoue. (2015). Synthesis of clinical prediction models under different sets of covariates with one individual patient data. BMC Medical Research Methodology. 15(1). 101–101. 7 indexed citations

Fukae, Jiro, Masato Isobe, Atsuo Kitano, et al.. (2014). Structural deterioration of finger joints with ultrasonographic synovitis in rheumatoid arthritis patients with clinical low disease activity. Lara D. Veeken. 53(9). 1608–1612. 12 indexed citations

Hattori, Satoshi & Masayuki Henmi. (2014). Stratified doubly robust estimators for the average causal effect. Biometrics. 70(2). 270–277. 3 indexed citations

Fukae, Jiro, Masato Isobe, Atsuo Kitano, et al.. (2012). Positive synovial vascularity in patients with low disease activity indicates smouldering inflammation leading to joint damage in rheumatoid arthritis: time-integrated joint inflammation estimated by synovial vascularity in each finger joint. Lara D. Veeken. 52(3). 523–528. 22 indexed citations

10.

Hattori, Satoshi & Masayuki Henmi. (2012). Estimation of treatment effects based on possibly misspecified Cox regression. Lifetime Data Analysis. 18(4). 408–433. 8 indexed citations

11.

Fujii, Yosuke, Masayuki Henmi, & Toshiharu Fujita. (2012). Evaluating the interaction between the therapy and the treatment in clinical trials by the propensity score weighting method. Statistics in Medicine. 31(3). 235–252. 1 indexed citations

12.

Henmi, Masayuki & Hiroshi Matsuzoe. (2011). Geometry of Pre-contrast Functions and Non-conservative Estimating Functions. AIP conference proceedings. 32–41. 10 indexed citations

13.

Henmi, Masayuki & J. B. Copas. (2010). Confidence intervals for random effects meta-analysis and robustness to publication bias. Statistics in Medicine. 29(29). 2969–2983. 124 indexed citations

14.

Henmi, Masayuki, Ryo Yoshida, & Shinto Eguchi. (2007). Importance Sampling Via the Estimated Sampler. Biometrika. 94(4). 985–991. 11 indexed citations

15.

Henmi, Masayuki, J. B. Copas, & Shinto Eguchi. (2006). Confidence Intervals and P‐Values for Meta‐Analysis with Publication Bias. Biometrics. 63(2). 475–482. 29 indexed citations

16.

Lee, Anna, J. B. Copas, Masayuki Henmi, Tony Gin, & Raymond C. K. Chung. (2006). Publication bias affected the estimate of postoperative nausea in an acupoint stimulation systematic review. Journal of Clinical Epidemiology. 59(9). 980–983. 7 indexed citations

17.

Henmi, Masayuki. (2004). A paradox concerning nuisance parameters and projected estimating functions. Biometrika. 91(4). 929–941. 53 indexed citations

18.

Henmi, Masayuki & Ryoichi Kobayashi. (2000). Hooke’s law in statistical manifolds and divergences. Nagoya Mathematical Journal. 159. 1–24. 2 indexed citations

19.

Mechanic, Gerald L., Elton P. Katz, Masayuki Henmi, Claudia M. Noyes, & Mitsuo Yamauchi. (1987). Locus of a histidine-based, stable trifunctional, helix to helix collagen cross-link: stereospecific collagen structure of type I skin fibrils. Biochemistry. 26(12). 3500–3509. 92 indexed citations

20.

Mechanic, Gerald L., Roderick M. Farb, Masayuki Henmi, et al.. (1987). Structural Crosslinking of Lung Connective Tissue Collagen in the Blotchy Mouse. Experimental Lung Research. 12(2). 109–117. 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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