Naresh Sachdeva

5.1k total citations
194 papers, 3.6k citations indexed

About

Naresh Sachdeva is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Naresh Sachdeva has authored 194 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Endocrinology, Diabetes and Metabolism, 47 papers in Surgery and 33 papers in Genetics. Recurrent topics in Naresh Sachdeva's work include Vitamin D Research Studies (23 papers), Growth Hormone and Insulin-like Growth Factors (22 papers) and Diabetes Management and Research (19 papers). Naresh Sachdeva is often cited by papers focused on Vitamin D Research Studies (23 papers), Growth Hormone and Insulin-like Growth Factors (22 papers) and Diabetes Management and Research (19 papers). Naresh Sachdeva collaborates with scholars based in India, United States and United Kingdom. Naresh Sachdeva's co-authors include Anil Bhansali, Sanjay Kumar Bhadada, Kévin Martin, Esther A. González, Dana Oliver, Rama Walia, Pinaki Dutta, Devi Dayal, Shobhit Bhansali and Ashu Rastogi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Gastroenterology.

In The Last Decade

Naresh Sachdeva

182 papers receiving 3.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Naresh Sachdeva 862 769 707 631 444 194 3.6k
Ravinder Goswami 822 1.0× 1.2k 1.5× 793 1.1× 356 0.6× 569 1.3× 120 3.2k
Jozélio Freire de Carvalho 322 0.4× 571 0.7× 424 0.6× 570 0.9× 379 0.9× 275 4.3k
Gisele Zandman‐Goddard 371 0.4× 1.0k 1.3× 491 0.7× 753 1.2× 564 1.3× 142 6.3k
Gilberto Vargas‐Alarcón 455 0.5× 352 0.5× 753 1.1× 1.1k 1.7× 615 1.4× 379 5.7k
Pinaki Dutta 1.6k 1.9× 254 0.3× 929 1.3× 553 0.9× 327 0.7× 265 4.0k
H. Lévesque 658 0.8× 1.2k 1.6× 1.2k 1.6× 748 1.2× 721 1.6× 295 7.0k
José Francisco Muñóz-Valle 279 0.3× 338 0.4× 246 0.3× 784 1.2× 516 1.2× 286 3.9k
Carlo Perricone 205 0.2× 628 0.8× 661 0.9× 1.1k 1.8× 398 0.9× 241 6.8k
Giovanni Federico 348 0.4× 289 0.4× 258 0.4× 485 0.8× 364 0.8× 102 2.1k
Ralf Schindler 302 0.4× 205 0.3× 886 1.3× 655 1.0× 241 0.5× 127 4.5k

Countries citing papers authored by Naresh Sachdeva

Since Specialization
Citations

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

Fields of papers citing papers by Naresh Sachdeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naresh Sachdeva

This figure shows the co-authorship network connecting the top 25 collaborators of Naresh Sachdeva. A scholar is included among the top collaborators of Naresh Sachdeva 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 Naresh Sachdeva. Naresh Sachdeva 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
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Bhansali, Shobhit, et al.. (2024). 8613 Diabetes remission: experience from a randomized control trial conducted in a tertiary care hospital in India. Journal of the Endocrine Society. 8(Supplement_1). 1 indexed citations
3.
Kaur, Simran, Poonam Kumari, Vandana Dhiman, et al.. (2024). Unveiling novel metabolic alterations in postmenopausal osteoporosis and type 2 diabetes mellitus through NMR-based metabolomics: A pioneering approach for identifying early diagnostic markers. Journal of Proteomics. 302. 105200–105200. 4 indexed citations
4.
Das, Liza, et al.. (2024). Calcifediol boosts efficacy of ChAdOx1 nCoV-19 vaccine by upregulating genes promoting memory T cell responses. npj Vaccines. 9(1). 114–114. 4 indexed citations
5.
Gupta, Nidhi, Rama Walia, Sanjay Kumar Bhadada, et al.. (2024). An objective way to predict remission and relapse in Cushing disease using Bayes’ theorem of probability. Journal of Endocrinological Investigation. 47(10). 2461–2468. 1 indexed citations
6.
Das, Liza, Chirag Ahuja, Sivashanmugam Dhandapani, et al.. (2023). Impulse Control Disorders with Short-term Use of Cabergoline in Macroprolactinomas: A Prospective Study with a Brief Review of Literature. Neurology India. 71(1). 107–112. 7 indexed citations
7.
Banerjee, Sohini, Uma Nahar, Divya Dahiya, et al.. (2023). IL-17 A correlates with disease progression in papillary thyroid carcinoma. Diagnostic Pathology. 18(1). 93–93. 7 indexed citations
8.
Dutta, Sourabh, Naresh Sachdeva, Arnab Pal, & Pallab Ray. (2022). Cerebrospinal fluid and plasma procalcitonin for the diagnosis of neonatal bacterial meningitis. Journal of Paediatrics and Child Health. 58(8). 1425–1430. 10 indexed citations
9.
Walia, Rama, Anil Bhansali, Devi Dayal, et al.. (2022). Unravelling a novel, promising and convenient tool for differential diagnosis of delayed puberty: GnRHa-stimulated inhibin B (GnRH-iB). Journal of Endocrinological Investigation. 45(12). 2265–2273. 3 indexed citations
10.
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Walia, Rama, Anil Bhansali, Devi Dayal, et al.. (2021). FSH-stimulated Inhibin B (FSH-iB): A Novel Marker for the Accurate Prediction of Pubertal Outcome in Delayed Puberty. The Journal of Clinical Endocrinology & Metabolism. 106(9). e3495–e3505. 19 indexed citations
12.
Walia, Rama, Rahul Gupta, Anil Bhansali, et al.. (2020). Molecular Imaging Targeting Corticotropin-releasing Hormone Receptor for Corticotropinoma: A Changing Paradigm. The Journal of Clinical Endocrinology & Metabolism. 106(4). 1816–1826. 32 indexed citations
13.
Dayal, Devi, et al.. (2020). Role of DNA-LL37 complexes in the activation of plasmacytoid dendritic cells and monocytes in subjects with type 1 diabetes. Scientific Reports. 10(1). 8896–8896. 19 indexed citations
14.
Gainder, Shalini, et al.. (2019). Comparison of the Different PCOS Phenotypes Based on Clinical Metabolic, and Hormonal Profile, and their Response to Clomiphene. Indian Journal of Endocrinology and Metabolism. 23(3). 326–331. 79 indexed citations
15.
Verma, Sanjay, et al.. (2018). Association between the occurrence of growing pains and vitamin-D deficiency in Indian children aged 3-12 years. Sri Lanka Journal of Child Health. 47(4). 306–310. 4 indexed citations
16.
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Narang, Tarun, et al.. (2017). Correlation of vitamin D and vitamin D receptor expression in patients with alopecia areata: a clinical paradigm. International Journal of Dermatology. 57(2). 217–222. 36 indexed citations
18.
Ghai, Babita, et al.. (2017). Hypothalamic Pituitary Adrenocortical Axis Suppression following a Single Epidural Injection of Methylprednisolone Acetate.. PubMed. 20(7). E991–E1001. 29 indexed citations
19.
Ghai, Babita, et al.. (2016). High Prevalence of Hypovitaminosis D in Indian Chronic Low Back Patients.. PubMed. 18(5). E853–62. 20 indexed citations
20.
Dayal, Devi & Naresh Sachdeva. (2015). Preservation of Residual Beta Cell Function with Vitamin D Supplementation in Type 1 Diabetes. 2. 4 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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