Eesh Bhatia

4.7k total citations
76 papers, 1.4k citations indexed

About

Eesh Bhatia is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Eesh Bhatia has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Endocrinology, Diabetes and Metabolism, 32 papers in Surgery and 28 papers in Genetics. Recurrent topics in Eesh Bhatia's work include Diabetes and associated disorders (25 papers), Diabetes Management and Research (16 papers) and Adrenal Hormones and Disorders (14 papers). Eesh Bhatia is often cited by papers focused on Diabetes and associated disorders (25 papers), Diabetes Management and Research (16 papers) and Adrenal Hormones and Disorders (14 papers). Eesh Bhatia collaborates with scholars based in India, United States and Australia. Eesh Bhatia's co-authors include Vijayalakshmi Bhatia, Subhash Yadav, V. Ramesh, Gourdas Choudhuri, Preeti Dabadghao, Sadiq S. Sikora, Heiko Witt, Olfert Landt, Andreas Kage and Michael Becker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Eesh Bhatia

74 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eesh Bhatia India 21 540 501 345 195 190 76 1.4k
Hermenegildo de la Calle Spain 21 517 1.0× 463 0.9× 360 1.0× 181 0.9× 76 0.4× 37 1.4k
Dimitrios Linos Greece 27 977 1.8× 1.0k 2.0× 306 0.9× 111 0.6× 178 0.9× 76 2.1k
Azmi Nabulsi United States 11 771 1.4× 152 0.3× 534 1.5× 177 0.9× 164 0.9× 18 1.8k
Ashok K. Bhalla United Kingdom 10 458 0.8× 158 0.3× 160 0.5× 268 1.4× 579 3.0× 16 1.7k
Sarah C. Oltmann United States 19 262 0.5× 760 1.5× 193 0.6× 120 0.6× 48 0.3× 46 1.3k
Jayaprakash Sahoo India 16 388 0.7× 186 0.4× 76 0.2× 143 0.7× 76 0.4× 102 1.0k
Gunnela Nordén Sweden 21 258 0.5× 512 1.0× 162 0.5× 527 2.7× 77 0.4× 67 1.9k
Brandon Orr‐Walker New Zealand 18 242 0.4× 141 0.3× 79 0.2× 153 0.8× 244 1.3× 43 1.1k
Ömer Başar Türkiye 22 260 0.5× 721 1.4× 141 0.4× 139 0.7× 78 0.4× 104 1.8k
Rıfat Emral Türkiye 19 730 1.4× 343 0.7× 128 0.4× 174 0.9× 52 0.3× 65 1.1k

Countries citing papers authored by Eesh Bhatia

Since Specialization
Citations

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

Fields of papers citing papers by Eesh Bhatia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eesh Bhatia

This figure shows the co-authorship network connecting the top 25 collaborators of Eesh Bhatia. A scholar is included among the top collaborators of Eesh Bhatia 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 Eesh Bhatia. Eesh Bhatia 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.
Bhansali, Anil, et al.. (2024). Hypothyroidism. 2(1 Supp). S115–S116.
2.
Singh, Pratibha, Uma Kanga, Kausik Mandal, et al.. (2023). High Frequency of Recessive WFS1 Mutations Among Indian Children With Islet Antibody-negative Type 1 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 109(3). e1072–e1082. 3 indexed citations
3.
Jain, Neeraj, et al.. (2023). Nonsurgical hypoparathyroidism is associated with skeletal muscle dysfunction and restrictive lung disease. European Journal of Endocrinology. 189(2). 141–148. 1 indexed citations
4.
Singh, Mahaveer, Rakesh Pandey, Rungmei S. K. Marak, et al.. (2023). Etiology, clinical characteristics and mortality among Indian patients with Addison’s disease. Endocrine Connections. 12(3). 4 indexed citations
5.
6.
Sarangi, Arkaprabha, Vimal Kumar Paliwal, Siddhnath Sudhanshu, et al.. (2021). Neonatal Diabetes Mellitus: Novel Mutations. The Indian Journal of Pediatrics. 88(8). 785–792. 10 indexed citations
7.
Colman, Peter G., Swayam Prakash, Suraksha Agrawal, et al.. (2020). High prevalence of idiopathic (islet antibody‐negative) type 1 diabetes among Indian children and adolescents. Pediatric Diabetes. 22(1). 47–51. 20 indexed citations
8.
Neyaz, Zafar, et al.. (2020). Results of Percutaneous Computed Tomography-Guided Biopsy of Adrenal Lesions and Spectrum of Computed Tomography Findings. Journal of Clinical Imaging Science. 10. 16–16. 2 indexed citations
9.
Chopra, Aditi, Siddhnath Sudhanshu, Yanjun Chen, et al.. (2019). The impact of free medical supplies and regular telephonic contact on glycemic control in Indian children and adolescents with type 1 diabetes. Pediatric Diabetes. 20(4). 444–449. 3 indexed citations
10.
Agarwal, Gaurav, Sonam Tulsyan, Vinita Agrawal, et al.. (2019). Genetic profile of Indian pheochromocytoma and paraganglioma patients – A single institutional study. Indian Journal of Endocrinology and Metabolism. 23(4). 486–486. 1 indexed citations
11.
Bhatia, Vijayalakshmi, et al.. (2018). High direct costs of medical care in patients with Type 1 diabetes attending a referral clinic in a government-funded hospital in Northern India.. PubMed. 29(2). 64–7. 14 indexed citations
12.
Chopra, Aditi, et al.. (2018). Validation of a diabetes knowledge test for Indian children, adolescents and young adults with type 1 diabetes mellitus. Primary care diabetes. 13(3). 283–287. 7 indexed citations
13.
Yadav, Subhash, et al.. (2014). Prevalence of Graves′ ophthalmopathy in patients with Graves′ disease presenting to a referral centre in north India. SHILAP Revista de lepidopterología. 4 indexed citations
14.
Yadav, Subhash, et al.. (2014). A prospective study of prevalence and association of peripheral neuropathy in Indian patients with newly diagnosed type 2 diabetes mellitus. Journal of Postgraduate Medicine. 60(3). 270–275. 54 indexed citations
15.
Kapoor, Aditya, Eesh Bhatia, Archana Sinha, et al.. (2012). Vitamin D deficiency, coronary artery disease, and endothelial dysfunction: observations from a coronary angiographic study in Indian patients.. PubMed. 24(8). 385–9. 61 indexed citations
16.
Yadav, Subhash, Vijayalakshmi Bhatia, Harish Singh, et al.. (2008). High prevalence of type 2 diabetes mellitus in affluent urban Indians. Diabetes Research and Clinical Practice. 81(2). e4–e7. 15 indexed citations
17.
Kalra, Pramila, Beena Bansal, Rakesh Gupta, et al.. (2008). Abdominal fat distribution and insulin resistance in Indian women with polycystic ovarian syndrome. Fertility and Sterility. 91(4). 1437–1440. 28 indexed citations
18.
Shukla, Priyanka, et al.. (2006). HFE, hepcidin and ferroportin gene mutations are not present in Indian patients with primary haemochromatosis.. PubMed. 19(1). 20–3. 8 indexed citations
19.
Bhatia, Eesh, Gourdas Choudhuri, Sadiq S. Sikora, et al.. (2002). Tropical calcific pancreatitis: Strong association with SPINK1 trypsin inhibitor mutations. Gastroenterology. 123(4). 1020–1025. 148 indexed citations
20.
Bhatia, Eesh, et al.. (1997). β-Cell function and insulin sensitivity in tropical calcific pancreatitis from North India. Metabolism. 46(4). 441–444. 13 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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