Gopalkrishna Sreejit

1.5k total citations
25 papers, 1.1k citations indexed

About

Gopalkrishna Sreejit is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Gopalkrishna Sreejit has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Gopalkrishna Sreejit's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), S100 Proteins and Annexins (6 papers) and Immune Response and Inflammation (5 papers). Gopalkrishna Sreejit is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), S100 Proteins and Annexins (6 papers) and Immune Response and Inflammation (5 papers). Gopalkrishna Sreejit collaborates with scholars based in United States, Australia and Netherlands. Gopalkrishna Sreejit's co-authors include Prabhakara R. Nagareddy, Andrew Murphy, Jillian Johnson, Baskaran Athmanathan, Prasanna Krishnamurthy, Mallikarjun Patil, Sangita Mukhopadhyay, Vijaya Lakshmi Valluri, Nazia Parveen and Asma Ahmed and has published in prestigious journals such as Circulation, PLoS ONE and Circulation Research.

In The Last Decade

Gopalkrishna Sreejit

25 papers receiving 1.0k citations

Peers

Gopalkrishna Sreejit
Lei Hou China
Peter Marschang Austria
Mathieu Surénaud France
Rille Pullerits Sweden
Florian Hoß Germany
Mingfu Tian China
J. Riggert Germany
Xiaobo Huang China
Lei Hou China
Gopalkrishna Sreejit
Citations per year, relative to Gopalkrishna Sreejit Gopalkrishna Sreejit (= 1×) peers Lei Hou

Countries citing papers authored by Gopalkrishna Sreejit

Since Specialization
Citations

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

Fields of papers citing papers by Gopalkrishna Sreejit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gopalkrishna Sreejit

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

All Works

20 of 20 papers shown
1.
Sreejit, Gopalkrishna, et al.. (2024). Macrophage heterogeneity in myocardial infarction: Evolution and implications for diverse therapeutic approaches. iScience. 27(7). 110274–110274. 6 indexed citations
2.
Crocco, Paolina, Gopalkrishna Sreejit, Serena Dato, et al.. (2023). Syndecan-4 as a genetic determinant of the metabolic syndrome. Diabetology & Metabolic Syndrome. 15(1). 156–156. 5 indexed citations
3.
Dahdah, Albert, et al.. (2022). Immunological Insights into Cigarette Smoking-Induced Cardiovascular Disease Risk. Cells. 11(20). 3190–3190. 19 indexed citations
4.
Dahdah, Albert, Jillian Johnson, Gopalkrishna Sreejit, et al.. (2022). Neutrophil Migratory Patterns: Implications for Cardiovascular Disease. Frontiers in Cell and Developmental Biology. 10. 6 indexed citations
5.
Lee, Man K.S., Michael J. Kraakman, Dragana Dragoljevic, et al.. (2021). Apoptotic Ablation of Platelets Reduces Atherosclerosis in Mice With Diabetes. Arteriosclerosis Thrombosis and Vascular Biology. 41(3). 1167–1178. 15 indexed citations
6.
Sreejit, Gopalkrishna, Jillian Johnson, Albert Dahdah, et al.. (2021). Neutrophils in cardiovascular disease: warmongers, peacemakers, or both?. Cardiovascular Research. 118(12). 2596–2609. 51 indexed citations
7.
Johnson, Jillian, Gopalkrishna Sreejit, Albert Dahdah, et al.. (2021). Oxidative Stress in Neutrophils: Implications for Diabetic Cardiovascular Complications. Antioxidants and Redox Signaling. 36(10-12). 652–666. 36 indexed citations
8.
Dahdah, Albert, et al.. (2021). Abstract MP221: Early Recruitment Of Neutrophils To The Ischemic Heart Is Orchestrated By Catecholamine-induced Demargination. Circulation Research. 129(Suppl_1). 1 indexed citations
9.
Nagareddy, Prabhakara R., Gopalkrishna Sreejit, Lakshman Chelvarajan, et al.. (2020). NETosis Is Required for S100A8/A9-Induced Granulopoiesis After Myocardial Infarction. Arteriosclerosis Thrombosis and Vascular Biology. 40(11). 2805–2807. 33 indexed citations
10.
Sreejit, Gopalkrishna, Ahmed Abdel Latif, Andrew Murphy, & Prabhakara R. Nagareddy. (2020). Emerging roles of neutrophil-borne S100A8/A9 in cardiovascular inflammation. Pharmacological Research. 161. 105212–105212. 47 indexed citations
11.
Sreejit, Gopalkrishna, Andrew J. Fleetwood, Andrew Murphy, & Prabhakara R. Nagareddy. (2020). Origins and diversity of macrophages in health and disease. Clinical & Translational Immunology. 9(12). e1222–e1222. 68 indexed citations
12.
Sreejit, Gopalkrishna, Michelle Flynn, Mallikarjun Patil, et al.. (2020). S100 family proteins in inflammation and beyond. Advances in clinical chemistry. 98. 173–231. 69 indexed citations
13.
Sreejit, Gopalkrishna, Ahmed Abdel‐Latif, Baskaran Athmanathan, et al.. (2020). Neutrophil-Derived S100A8/A9 Amplify Granulopoiesis After Myocardial Infarction. Circulation. 141(13). 1080–1094. 211 indexed citations
14.
Luca, María De, Baskaran Athmanathan, Gopalkrishna Sreejit, et al.. (2019). Genetic Deletion of Syndecan-4 Alters Body Composition, Metabolic Phenotypes, and the Function of Metabolic Tissues in Female Mice Fed A High-Fat Diet. Nutrients. 11(11). 2810–2810. 11 indexed citations
15.
Prasad, Ram, Yaqian Duan, Gopalkrishna Sreejit, et al.. (2019). Gut microbiota intensifies retinal vascular defects by targeting adherens junction protein p120-catenin in angiotensin converting enzyme 2 (ACE2) deficient type 1 diabetes (T1D). Investigative Ophthalmology & Visual Science. 60(9). 977–977. 1 indexed citations
16.
Patil, Mallikarjun, et al.. (2019). The Art of Intercellular Wireless Communications: Exosomes in Heart Disease and Therapy. Frontiers in Cell and Developmental Biology. 7. 315–315. 44 indexed citations
17.
Thiagarajan, Devi, Gopalkrishna Sreejit, Radha Ananthakrishnan, et al.. (2017). Aldose reductase modulates acute activation of mesenchymal markers via the β-catenin pathway during cardiac ischemia-reperfusion. PLoS ONE. 12(11). e0188981–e0188981. 3 indexed citations
18.
O’Shea, Karen M., Radha Ananthakrishnan, Qing Li, et al.. (2017). The Formin, DIAPH1, is a Key Modulator of Myocardial Ischemia/Reperfusion Injury. EBioMedicine. 26. 165–174. 30 indexed citations
19.
Mahamed, Deeqa, Yashica Ganga, Emily Wong, et al.. (2017). Intracellular growth of Mycobacterium tuberculosis after macrophage cell death leads to serial killing of host cells. eLife. 6. 110 indexed citations
20.
Sreejit, Gopalkrishna, Asma Ahmed, Nazia Parveen, et al.. (2014). The ESAT-6 Protein of Mycobacterium tuberculosis Interacts with Beta-2-Microglobulin (β2M) Affecting Antigen Presentation Function of Macrophage. PLoS Pathogens. 10(10). e1004446–e1004446. 123 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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