Manabu Kuroki

3.9k citations
95 papers · 2.7k indexed · h-index 24

Manabu Kuroki

91 papers receiving 2.6k citations

Peers

Manabu Kuroki
Comparison fields: 5 of 141
  • Ophthalmology 441
  • Radiology, Nuclear Medicine and Imaging 972
  • Statistics and Probability 316
  • Clinical Biochemistry 194
  • Immunology and Allergy 95
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Citations per field
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Citations per year

Countries citing papers authored by Manabu Kuroki

Since Specialization
Citations

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

Fields of papers citing papers by Manabu Kuroki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20233
3 20211
4
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information
20213
5 20201
6
Predictive Principal Variable Selection for Linear Regression Analysis
20180
7 20174
8 20159
9
On Estimating Causal Effects based on Supplemental Variables
20141
10 201229
11
On identifying total effects in the presence of latent variables and selection bias
200814
12
Evaluation of the causal effect of control plans in nonrecursive structural equation models
20071
13 200718
14 200761
15
Counterfactual reasoning in linear structural equation models
20052
16 200414
17
The Joint Causal Effect in Linear Structural Equation Model and Its Application to Process Analysis
20034
18
Expression of Thrombospondin-1 in Vitamin A Deficient Corneal Wound Healing
20031
19 1998343
20 1996362

About Manabu Kuroki

Manabu Kuroki is a scholar working on Statistics and Probability, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 95 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (33 papers), Monoclonal and Polyclonal Antibodies Research (24 papers), Bayesian Modeling and Causal Inference (23 papers), Statistical Methods and Inference (16 papers), Glycosylation and Glycoproteins Research (15 papers), Statistical Methods and Bayesian Inference (13 papers), Peptidase Inhibition and Analysis (9 papers) and Statistical Methods in Clinical Trials (8 papers). The work is most often cited by research in Ophthalmology (441 citations), Radiology, Nuclear Medicine and Imaging (972 citations) and Statistics and Probability (316 citations). Manabu Kuroki has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Michael J. Tolentino, Anthony P. Adamis, Shiro Amano, Richard M. Rohan, Zhihong Cai, J. Pearl, Seiji Amano, Karen Keough, Laurens V. Beerepoot and K T Yeo. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

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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