Binita Goswami

2.0k total citations
85 papers, 1.4k citations indexed

About

Binita Goswami is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Binita Goswami has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 19 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Surgery. Recurrent topics in Binita Goswami's work include Adipokines, Inflammation, and Metabolic Diseases (13 papers), Lipoproteins and Cardiovascular Health (10 papers) and Thyroid Disorders and Treatments (9 papers). Binita Goswami is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (13 papers), Lipoproteins and Cardiovascular Health (10 papers) and Thyroid Disorders and Treatments (9 papers). Binita Goswami collaborates with scholars based in India, France and Bahrain. Binita Goswami's co-authors include V. Mallika, Medha Rajappa, Nikhil Gupta, Devika Tayal, Bhawna Singh, Anju Jain, Surajeet Kumar Patra, Bidhan Chandra Koner, Suresh Kumar and M. K. Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinica Chimica Acta and Seminars in Cancer Biology.

In The Last Decade

Binita Goswami

80 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
Binita Goswami India 20 240 235 235 217 196 85 1.4k
İhsan Ateş Türkiye 21 339 1.4× 219 0.9× 226 1.0× 301 1.4× 161 0.8× 140 1.6k
Wenshan Lv China 14 149 0.6× 410 1.7× 143 0.6× 192 0.9× 123 0.6× 32 1.5k
Imran Ali Khan Saudi Arabia 20 381 1.6× 344 1.5× 289 1.2× 179 0.8× 111 0.6× 130 1.5k
Douwe J. Mulder Netherlands 26 231 1.0× 276 1.2× 382 1.6× 219 1.0× 280 1.4× 97 2.5k
Andrea Iorga United States 18 261 1.1× 413 1.8× 214 0.9× 288 1.3× 357 1.8× 26 1.9k
Lin Zhu China 18 315 1.3× 468 2.0× 375 1.6× 388 1.8× 272 1.4× 74 1.8k
Min-Tser Liao Taiwan 19 185 0.8× 238 1.0× 114 0.5× 218 1.0× 137 0.7× 61 1.3k
Egidio Celentano Italy 26 249 1.0× 275 1.2× 265 1.1× 316 1.5× 189 1.0× 83 2.1k
A. Di Benedetto Italy 30 692 2.9× 242 1.0× 473 2.0× 252 1.2× 237 1.2× 83 2.6k

Countries citing papers authored by Binita Goswami

Since Specialization
Citations

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

Fields of papers citing papers by Binita Goswami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binita Goswami

This figure shows the co-authorship network connecting the top 25 collaborators of Binita Goswami. A scholar is included among the top collaborators of Binita Goswami 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 Binita Goswami. Binita Goswami 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.
Tayal, Devika, Prerna Jain, & Binita Goswami. (2024). D-dimer – a multifaceted molecule. Hormone Molecular Biology and Clinical Investigation. 45(2). 75–84. 6 indexed citations
2.
Dabas, Aashima, et al.. (2024). Adrenocortical suppression in children with nephrotic syndrome treated with corticosteroids. Pediatric Nephrology. 39(6). 1817–1824. 1 indexed citations
4.
Dubey, Abhishek, et al.. (2023). Comparison of traditional essay questions versus case based modified essay questions in biochemistry. Biochemistry and Molecular Biology Education. 51(5). 494–498. 3 indexed citations
5.
Ratan, Simmi K., et al.. (2022). Role of Ultrasonography and Inflammatory Markers in Predicting Complicated Appendicitis. Journal of Indian Association of Pediatric Surgeons. 27(4). 448–454. 1 indexed citations
6.
Sarkar, Rashmi, et al.. (2020). Melatonin and oxidative stress in melasma ‒ an unexplored territory; a prospective study. International Journal of Dermatology. 59(5). 572–575. 21 indexed citations
7.
Goswami, Binita, et al.. (2020). Cell free DNA: revolution in molecular diagnostics – the journey so far. Hormone Molecular Biology and Clinical Investigation. 41(1). 75–80. 4 indexed citations
8.
Goswami, Binita, et al.. (2017). Interplay between PAPP-A, inflammation and adiposity in patients with angiographically proven acute coronary syndrome (ACS). Hormone Molecular Biology and Clinical Investigation. 31(3).
9.
Singh, Archana, et al.. (2017). Association of prothrombotic adipokine (plasminogen activator inhibitor-1) with TSH in metabolic syndrome: a case control study. Hormone Molecular Biology and Clinical Investigation. 34(1). 3 indexed citations
10.
Singh, Archana, et al.. (2017). Raised TSH is associated with endothelial dysfunction in Metabolic Syndrome: A case control study. Romanian Journal of Internal Medicine. 55(4). 212–221. 9 indexed citations
11.
Jain, Anju, et al.. (2015). The study of markers of endothelial dysfunction in metabolic syndrome. Hormone Molecular Biology and Clinical Investigation. 24(3). 131–136. 16 indexed citations
12.
Goswami, Binita, et al.. (2013). Low mood and response to Levothyroxine treatment in Indian patients with subclinical hypothyroidism. Asian Journal of Psychiatry. 8. 89–93. 11 indexed citations
13.
Gupta, Nikhil, et al.. (2012). Vertebral Metastasis in Gallbladder Carcinoma- An Unusual Site. 1–3. 4 indexed citations
14.
Goswami, Binita, Devika Tayal, Sanjay Tyagi, & V. Mallika. (2011). Prevalence of metabolic syndrome in patients with angiographically proven coronary artery disease presenting to a tertiary care hospital in Delhi, India. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 5(2). 53–60. 7 indexed citations
15.
Tayal, Devika, et al.. (2011). Role of homocysteine and lipoprotein (A) in atherosclerosis: An update. Biomedical Research-tokyo. 22(4). 0. 11 indexed citations
16.
Gupta, Nikhil, et al.. (2011). Evaluation of the clinicopathological profile of solitary thyroid nodules: Our experience. Thyroid Research and Practice. 8(2). 3. 1 indexed citations
17.
Goswami, Binita, et al.. (2011). Assessment of insulin resistance, dyslipidemia and inflammatory response in North Indian male patients with angiographically proven coronary artery disease.. PubMed. 59(2). 139–47. 6 indexed citations
18.
Goswami, Binita, Medha Rajappa, V. Mallika, Deepak Shukla, & Suresh Kumar. (2009). TNF-α/IL-10 ratio and C-reactive protein as markers of the inflammatory response in CAD-prone North Indian patients with acute myocardial infarction. Clinica Chimica Acta. 408(1-2). 14–18. 55 indexed citations
19.
Tayal, Devika, Binita Goswami, Vinod Kumar Gupta, & V. Mallika. (2008). Evaluation of lipid profile in hypothyroid patients-our experience. Thyroid Research and Practice. 5(2). 43. 3 indexed citations
20.
Goswami, Binita, Medha Rajappa, V. Mallika, Suresh Kumar, & Deepak Shukla. (2008). Apo-B/apo-AI ratio: a better discriminator of coronary artery disease risk than other conventional lipid ratios in Indian patients with acute myocardial infarction. Acta Cardiologica. 63(6). 749–755. 31 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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