Jeevan K. Shetty

14.8k total citations
66 papers, 428 citations indexed

About

Jeevan K. Shetty is a scholar working on Hematology, Genetics and Physiology. According to data from OpenAlex, Jeevan K. Shetty has authored 66 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 23 papers in Genetics and 14 papers in Physiology. Recurrent topics in Jeevan K. Shetty's work include Hemoglobinopathies and Related Disorders (22 papers), Blood groups and transfusion (15 papers) and Erythrocyte Function and Pathophysiology (8 papers). Jeevan K. Shetty is often cited by papers focused on Hemoglobinopathies and Related Disorders (22 papers), Blood groups and transfusion (15 papers) and Erythrocyte Function and Pathophysiology (8 papers). Jeevan K. Shetty collaborates with scholars based in United States, Switzerland and Italy. Jeevan K. Shetty's co-authors include Mungli Prakash, Vivekananda Kedage, Manjunatha S. Muttigi, Sambit Dash, John B. Porter, Abhijit Sarkar, Olivier Hermine, Ersi Voskaridou, Vip Viprakasit and Maria Domenica Cappellini and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jeevan K. Shetty

61 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeevan K. Shetty United States 12 170 149 67 58 45 66 428
Pimpisid Koonyosying Thailand 9 116 0.7× 53 0.4× 53 0.8× 25 0.4× 54 1.2× 41 325
Hamid Yaghooti Iran 11 35 0.2× 36 0.2× 72 1.1× 31 0.5× 43 1.0× 30 342
Alireza Mohseni Iran 9 86 0.5× 111 0.7× 132 2.0× 33 0.6× 29 0.6× 20 379
Marc Andrews Canada 5 142 0.8× 55 0.4× 85 1.3× 36 0.6× 93 2.1× 7 375
F A Kuypers United States 9 58 0.3× 65 0.4× 175 2.6× 169 2.9× 63 1.4× 11 497
Vani Rajashekaraiah India 12 66 0.4× 14 0.1× 109 1.6× 126 2.2× 66 1.5× 44 530
Jagdish N. Sharma Kuwait 16 53 0.3× 259 1.7× 136 2.0× 49 0.8× 31 0.7× 35 689
Dominique Bayle France 11 34 0.2× 18 0.1× 60 0.9× 31 0.5× 171 3.8× 17 341
Ruhi Uyar Türkiye 13 29 0.2× 16 0.1× 117 1.7× 27 0.5× 50 1.1× 35 391
Arzu Zeynep Karabay Türkiye 11 38 0.2× 24 0.2× 136 2.0× 14 0.2× 14 0.3× 25 291

Countries citing papers authored by Jeevan K. Shetty

Since Specialization
Citations

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

Fields of papers citing papers by Jeevan K. Shetty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeevan K. Shetty. 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 Jeevan K. Shetty. The network helps show where Jeevan K. Shetty may publish in the future.

Co-authorship network of co-authors of Jeevan K. Shetty

This figure shows the co-authorship network connecting the top 25 collaborators of Jeevan K. Shetty. A scholar is included among the top collaborators of Jeevan K. Shetty 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 Jeevan K. Shetty. Jeevan K. Shetty 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.
Kersten, Marie José, Évelyne Willems, Marte C. Liefaard, et al.. (2024). Atalanta-1: A Phase 1/2 Trial of GLPG5101, a Fresh, Stem-like, Early Memory CD19 CAR T-Cell Therapy with a 7-Day Vein-to-Vein Time, for the Treatment of Relapsed/Refractory Non-Hodgkin Lymphoma. Blood. 144(Supplement 1). 93–93. 1 indexed citations
2.
Shetty, Jeevan K., et al.. (2024). The Role of Hypothalamic Microglia in the Onset of Insulin Resistance and Type 2 Diabetes: A Neuro-Immune Perspective. International Journal of Molecular Sciences. 25(23). 13169–13169. 5 indexed citations
3.
Maiya, Arun G., et al.. (2024). Barriers and Enablers for Physical Activity Engagement Among Individuals From India With Type 2 Diabetes Mellitus: A Mixed-Method Study. Journal of Physical Activity and Health. 21(5). 519–527. 1 indexed citations
4.
Shetty, Jeevan K., et al.. (2024). Management of diabetes mellitus using medicinal plants: A review. Bioinformation. 20(7). 705–710. 1 indexed citations
6.
Taher, Alì, Khaled M. Musallam, Vip Viprakasit, et al.. (2023). Psychometric evaluation of the NTDT-PRO questionnaire for assessing symptoms in patients with non-transfusion-dependent beta-thalassaemia. BMJ Open. 13(3). e066683–e066683. 4 indexed citations
7.
Taher, Alì, Vip Viprakasit, Maria Domenica Cappellini, et al.. (2023). S273: LONG-TERM ERYTHROID RESPONSE DATA FROM PATIENTS (PTS) WITH NON-TRANSFUSION-DEPENDENT ΒETA-THALASSEMIA (NTDT) RECEIVING LUSPATERCEPT IN THE BEYOND TRIAL. HemaSphere. 7(S3). e45673ef–e45673ef. 1 indexed citations
8.
Garbowski, Maciej, Alberto Risueño, Jeevan K. Shetty, et al.. (2023). Luspatercept stimulates erythropoiesis, increases iron utilization, and redistributes body iron in transfusion‐dependent thalassemia. American Journal of Hematology. 99(2). 182–192. 13 indexed citations
10.
Hegde, Mangala, et al.. (2015). Serum Levels of L-amino Acid Oxidase in Ovarian Cancer Patients. 3(1). 105–112. 1 indexed citations
11.
Shetty, Jeevan K.. (2015). Bisalbuminemia in a Hypothyroid Patient with Diabetes: A Case Report. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 9(9). BD01–2. 3 indexed citations
12.
Sharma, Vivek Kumar, et al.. (2013). Oxidative stress in Schizophrenia patients with and without diabetes mellitus. Asian journal of biomedical and pharmaceutical sciences. 3(18). 29–32.
13.
Shetty, Jeevan K., et al.. (2013). Evaluation of Antibacterial Activity of Pongamia pinnata linn on Pathogens of Clinical Isolates. American journal of phytomedicine and clinical therapeutics. 1(8). 645–651. 16 indexed citations
14.
Kedage, Vivekananda, et al.. (2011). Paraoxonase Activity In Type 2 Diabetes MellitusPatients With And Without Complications. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 5(1). 63–65. 9 indexed citations
15.
Sukreet, Sonal, et al.. (2011). Serum malondialdehyde and thiol levels in patients with bipolar disorder. 5(1). 1 indexed citations
16.
Babu, Suresh, Jeevan K. Shetty, & Mungli Prakash. (2010). Total Thiols and MDA Levels in Patients with Acute Myocardial Infarction Before and After Reperfusion Therapy. Online Journal of Health and Allied Sciences. 9(3). 1–4. 5 indexed citations
17.
Shetty, Jeevan K., et al.. (2010). Cardiac Enzymes, Total Thiols And Lipid Peroxidation In Patients With Acute Myocardial Infarction. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 4(6). 3425–3429. 2 indexed citations
18.
Muttigi, Manjunatha S., et al.. (2009). Glutathione S-Transferase activity and total thiol status in chronic alcohol abusers before and 30 days after alcohol abstinence. SHILAP Revista de lepidopterología. 8 indexed citations
19.
Prakash, Mungli, et al.. (2009). Serum Paraoxonase Activity and Protein Thiols in Patients with Hyperlipidemia. 15(2). 111–113. 2 indexed citations
20.
Prakash, Mungli, et al.. (2008). Urinary protein thiols in different grades of proteinuria. Indian Journal of Clinical Biochemistry. 23(4). 404–406. 3 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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