Matthew J. McConnell

944 total citations · 1 hit paper
17 papers, 495 citations indexed

About

Matthew J. McConnell is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Matthew J. McConnell has authored 17 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hepatology, 7 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Matthew J. McConnell's work include Liver Disease and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Lymphatic System and Diseases (4 papers). Matthew J. McConnell is often cited by papers focused on Liver Disease and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Lymphatic System and Diseases (4 papers). Matthew J. McConnell collaborates with scholars based in United States, Japan and China. Matthew J. McConnell's co-authors include Yasuko Iwakiri, Teruo Utsumi, Jain Jeong, Yilin Yang, Enis Kostallari, Reiichiro Kondo, Samar H. Ibrahim, Sanchuan Lai, Tingting Su and Nao Kawaguchi and has published in prestigious journals such as Gastroenterology, Hepatology and Scientific Reports.

In The Last Decade

Matthew J. McConnell

17 papers receiving 484 citations

Hit Papers

The evolving role of liver sinusoidal endothelial cells i... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J. McConnell United States 8 231 204 95 86 59 17 495
Kevin J. Fagan Australia 9 492 2.1× 289 1.4× 95 1.0× 117 1.4× 25 0.4× 17 684
Masashi Miyao Japan 10 198 0.9× 135 0.7× 161 1.7× 87 1.0× 22 0.4× 24 517
Shinichiro Goto Japan 8 100 0.4× 241 1.2× 65 0.7× 195 2.3× 51 0.9× 30 458
Xiaohua Huang China 12 178 0.8× 115 0.6× 112 1.2× 28 0.3× 67 1.1× 27 429
Agustín F. González-Rivero Spain 12 164 0.7× 40 0.2× 130 1.4× 27 0.3× 94 1.6× 77 438
Mike A. Leonis United States 14 84 0.4× 210 1.0× 157 1.7× 102 1.2× 63 1.1× 19 497
Zhenhua Tu China 9 193 0.8× 209 1.0× 94 1.0× 144 1.7× 50 0.8× 13 463
Chihiro Kawai Japan 7 175 0.8× 125 0.6× 103 1.1× 67 0.8× 15 0.3× 22 391
Eduardo Larrañaga Spain 10 221 1.0× 70 0.3× 96 1.0× 144 1.7× 47 0.8× 32 470
Thomas L. Husted United States 10 82 0.4× 109 0.5× 86 0.9× 204 2.4× 65 1.1× 15 434

Countries citing papers authored by Matthew J. McConnell

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. McConnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. McConnell. 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 Matthew J. McConnell. The network helps show where Matthew J. McConnell may publish in the future.

Co-authorship network of co-authors of Matthew J. McConnell

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

All Works

17 of 17 papers shown
1.
Yang, Yilin, Jain Jeong, Tingting Su, et al.. (2024). Interleukin-7-based identification of liver lymphatic endothelial cells reveals their unique structural features. JHEP Reports. 6(7). 101069–101069. 6 indexed citations
2.
McConnell, Matthew J. & Yasuko Iwakiri. (2023). Portal Hypertension in Alcohol-Associated Hepatitis. Current Hepatology Reports. 22(2). 67–73. 3 indexed citations
3.
Tanaka, Masatake, Jain Jeong, Xuchen Zhang, et al.. (2023). The Sympathetic Nervous System Promotes Hepatic Lymphangiogenesis, which Is Protective Against Liver Fibrosis. American Journal Of Pathology. 193(12). 2182–2202. 3 indexed citations
4.
McConnell, Matthew J., Enis Kostallari, Samar H. Ibrahim, & Yasuko Iwakiri. (2023). The evolving role of liver sinusoidal endothelial cells in liver health and disease. Hepatology. 78(2). 649–669. 75 indexed citations breakdown →
5.
Jeong, Jain, Masatake Tanaka, Yilin Yang, et al.. (2023). An optimized visualization and quantitative protocol for in-depth evaluation of lymphatic vessel architecture in the liver. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
6.
Jeong, Jain, Masatake Tanaka, Yilin Yang, et al.. (2023). An optimized visualization and quantitative protocol for in-depth evaluation of lymphatic vessel architecture in the liver. American Journal of Physiology-Gastrointestinal and Liver Physiology. 325(5). G379–G390. 3 indexed citations
7.
Yang, Yilin, Panjamaporn Sangwung, Reiichiro Kondo, et al.. (2021). Alcohol-induced Hsp90 acetylation is a novel driver of liver sinusoidal endothelial dysfunction and alcohol-related liver disease. Journal of Hepatology. 75(2). 377–386. 50 indexed citations
8.
Flood, Louise, et al.. (2021). Lessons from a community vaccination programme to control a meningococcal disease serogroup W outbreak in remote South Australia, 2017. Western Pacific surveillance response journal. 12(1). 26–31. 2 indexed citations
9.
McConnell, Matthew J., Reiichiro Kondo, Nao Kawaguchi, & Yasuko Iwakiri. (2021). Covid‐19 and Liver Injury: Role of Inflammatory Endotheliopathy, Platelet Dysfunction, and Thrombosis. Hepatology Communications. 6(2). 255–269. 45 indexed citations
10.
McConnell, Matthew J., Jordan M. Alpert, Parisa Rashidi, et al.. (2021). ROAMM: A customizable and interactive smartwatch platform for patient-generated health data. 33. 150–158. 3 indexed citations
11.
Kondo, Reiichiro, Nao Kawaguchi, Matthew J. McConnell, et al.. (2021). Pathological characteristics of liver sinusoidal thrombosis in COVID‐19 patients: A series of 43 cases. Hepatology Research. 51(9). 1000–1006. 23 indexed citations
12.
Su, Tingting, Yilin Yang, Sanchuan Lai, et al.. (2020). Single-Cell Transcriptomics Reveals Zone-Specific Alterations of Liver Sinusoidal Endothelial Cells in Cirrhosis. Cellular and Molecular Gastroenterology and Hepatology. 11(4). 1139–1161. 131 indexed citations
13.
Hsu, Shao‐Jung, et al.. (2020). Enhanced Meningeal Lymphatic Drainage Ameliorates Neuroinflammation and Hepatic Encephalopathy in Cirrhotic Rats. Gastroenterology. 160(4). 1315–1329.e13. 78 indexed citations
14.
Siddique, Shazia Mehmood, Meghan B. Lane‐Fall, Matthew J. McConnell, et al.. (2018). Exploring opportunities to prevent cirrhosis admissions in the emergency department: A multicenter multidisciplinary survey. Hepatology Communications. 2(3). 237–244. 10 indexed citations
15.
Saruwatari, Junji, et al.. (2018). Integrated analysis of microRNA and mRNA expression profiles in splenomegaly induced by non-cirrhotic portal hypertension in rats. Scientific Reports. 8(1). 17983–17983. 3 indexed citations
16.
McConnell, Matthew J. & Joseph K. Lim. (2018). Hepatitis C Vaccine Development in the Era of Direct‐Acting Antivirals. Clinical Liver Disease. 12(5). 118–121. 2 indexed citations
17.
McConnell, Matthew J. & Yasuko Iwakiri. (2017). Biology of portal hypertension. Hepatology International. 12(S1). 11–23. 57 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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