Mikhail Sumin

892 total citations
16 papers, 258 citations indexed

About

Mikhail Sumin is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mikhail Sumin has authored 16 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mikhail Sumin's work include Diabetes Treatment and Management (10 papers), Pancreatic function and diabetes (6 papers) and Metabolism, Diabetes, and Cancer (4 papers). Mikhail Sumin is often cited by papers focused on Diabetes Treatment and Management (10 papers), Pancreatic function and diabetes (6 papers) and Metabolism, Diabetes, and Cancer (4 papers). Mikhail Sumin collaborates with scholars based in United Kingdom, United States and Germany. Mikhail Sumin's co-authors include Javed Butler, Milton Packer, Stuart Pocock, João Pedro Ferreira, James L. Januzzi, Gerasimos Filippatos, Stefan D. Anker, Faı̈ez Zannad, Naveed Sattar and Maral Saadati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Mikhail Sumin

14 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Sumin United Kingdom 8 145 129 83 68 36 16 258
Shaoli Chu China 12 98 0.7× 156 1.2× 93 1.1× 79 1.2× 45 1.3× 23 326
Augusto Lavalle Cobo Argentina 9 116 0.8× 116 0.9× 120 1.4× 75 1.1× 17 0.5× 42 295
Takehiro Hashikata Japan 9 73 0.5× 135 1.0× 102 1.2× 50 0.7× 37 1.0× 25 293
Ben Mercer United Kingdom 10 123 0.8× 193 1.5× 55 0.7× 91 1.3× 26 0.7× 16 317
Shih‐Jie Jhuo Taiwan 11 166 1.1× 222 1.7× 97 1.2× 97 1.4× 49 1.4× 23 377
Jhih‐Yuan Shih Taiwan 9 79 0.5× 143 1.1× 53 0.6× 95 1.4× 86 2.4× 37 291
Toshiki Nagasaki Japan 11 303 2.1× 120 0.9× 50 0.6× 43 0.6× 33 0.9× 19 394
Liliana Legedz France 10 75 0.5× 268 2.1× 89 1.1× 61 0.9× 83 2.3× 19 405
Konstantinos Markakis Greece 10 109 0.8× 114 0.9× 47 0.6× 133 2.0× 50 1.4× 14 345
Cheng‐Hsuan Tsai Taiwan 11 287 2.0× 126 1.0× 233 2.8× 72 1.1× 61 1.7× 55 428

Countries citing papers authored by Mikhail Sumin

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Sumin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Sumin

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

All Works

16 of 16 papers shown
1.
Bhatt, Deepak L., Adrian F. Hernandez, Stefan D. Anker, et al.. (2025). Secondary analysis of the EMPACT-MI trial reveals cardiovascular–kidney efficacy and safety of empagliflozin after acute myocardial infarction. Nature Cardiovascular Research. 4(6). 761–772.
2.
Ferreira, João Pedro, Milton Packer, Naveed Sattar, et al.. (2024). Carbohydrate Antigen 125 Concentrations Across the Ejection Fraction Spectrum in Chronic Heart Failure: The EMPEROR Programme. European Journal of Heart Failure. 26(4). 788–802. 9 indexed citations
3.
Packer, Milton, João Pedro Ferreira, Javed Butler, et al.. (2024). Reaffirmation of Mechanistic Proteomic Signatures Accompanying SGLT2 Inhibition in Patients With Heart Failure. Journal of the American College of Cardiology. 84(20). 1979–1994. 9 indexed citations
4.
Ferreira, João Pedro, Milton Packer, Naveed Sattar, et al.. (2024). Insulin-Like Growth Factor Binding Protein-7 Concentrations in Chronic Heart Failure: Results from the EMPEROR Programme. European Journal of Heart Failure. 26(4). 806–816. 5 indexed citations
5.
Ferreira, João Pedro, Milton Packer, Javed Butler, et al.. (2023). Growth Differentiation Factor-15 and the Effect of Empagliflozin in Heart Failure: Findings from the EMPEROR Program. European Journal of Heart Failure. 26(1). 155–164. 11 indexed citations
6.
Ferreira, João Pedro, Javed Butler, Stefan D. Anker, et al.. (2023). Effects of Empagliflozin on Collagen Biomarkers in Patients with Heart Failure: Findings from the EMPEROR Trials. European Journal of Heart Failure. 26(2). 274–284. 12 indexed citations
7.
Butler, Javed, Muhammad Usman, Gerasimos Filippatos, et al.. (2023). Safety and Efficacy of Empagliflozin and Diuretic Use in Patients with Heart Failure and Preserved Ejection Fraction. JAMA Cardiology. 8(7). 640–640. 37 indexed citations
8.
Ferreira, João Pedro, Faı̈ez Zannad, Javed Butler, et al.. (2023). Recency of Heart Failure Hospitalization, Outcomes, and the Effect of Empagliflozin. JACC Heart Failure. 11(6). 702–712. 6 indexed citations
9.
Harrington, Josephine, Jacob A. Udell, W. Schuyler Jones, et al.. (2023). Baseline Characteristics of Patients Enrolled in the EMPACT-MI Trial. European Journal of Heart Failure. 25(9). 1708–1715. 12 indexed citations
10.
Zannad, Faı̈ez, João Pedro Ferreira, Javed Butler, et al.. (2022). Effect of empagliflozin on circulating proteomics in heart failure: mechanistic insights into the EMPEROR programme. European Heart Journal. 43(48). 4991–5002. 97 indexed citations
11.
Harrington, Josephine, Jacob A. Udell, W. Schuyler Jones, et al.. (2022). Empagliflozin in patients post myocardial infarction rationale and design of the EMPACT-MI trial. American Heart Journal. 253. 86–98. 45 indexed citations
12.
Ezhov, Andrey, С. А. Зенин, T Novikova, et al.. (2017). CLINICAL PORTRAIT OF THE ATRIAL FIBRILLATION PATIENT IN Russian FEDERATION. DATA FROM THE GLOBAL REGISTRY Gloria AF. SHILAP Revista de lepidopterología. 5 indexed citations
13.
Shlyakhto, Е. V., Andrey Ezhov, С. А. Зенин, et al.. (2017). CLINICAL PORTRAIT OF THE ATRIAL FIBRILLATION PATIENT IN Russian FEDERATION. DATA FROM THE GLOBAL REGISTRY Gloria AF. Russian Journal of Cardiology. 21–27. 7 indexed citations
14.
Абидов, М. Т., et al.. (2005). Changes in Erythropoiesis during Liver Regeneration after Partial Hepatectomy. Bulletin of Experimental Biology and Medicine. 139(5). 554–557. 2 indexed citations
15.
Sumin, Mikhail, et al.. (2003). Hemoglobin Heterogeneity under Conditions of Abnormal Erythropoiesis. Bulletin of Experimental Biology and Medicine. 135(6). 563–565. 1 indexed citations
16.
Черешнев, В. А., et al.. (2002). Mechanisms of Changes in the Hemoglobin Profile during Acute Adaptation to Extreme Conditions. Bulletin of Experimental Biology and Medicine. 134(3). 223–225.

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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