V. Mallika

1.5k total citations
38 papers, 1.1k citations indexed

About

V. Mallika is a scholar working on Epidemiology, Surgery and Physiology. According to data from OpenAlex, V. Mallika has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Surgery and 8 papers in Physiology. Recurrent topics in V. Mallika's work include Lipoproteins and Cardiovascular Health (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Clinical Laboratory Practices and Quality Control (6 papers). V. Mallika is often cited by papers focused on Lipoproteins and Cardiovascular Health (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Clinical Laboratory Practices and Quality Control (6 papers). V. Mallika collaborates with scholars based in India, United States and United Arab Emirates. V. Mallika's co-authors include Binita Goswami, Medha Rajappa, Bhawna Singh, Ranjna Chawla, Devika Tayal, Nikhil Gupta, Vinod Kumar Gupta, Sarika Arora, Satinder Aneja and Sanjay Chawla and has published in prestigious journals such as American Journal of Clinical Nutrition, Clinica Chimica Acta and Clinical Biochemistry.

In The Last Decade

V. Mallika

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Mallika India 19 277 166 150 139 135 38 1.1k
İbrahim Ünsal Türkiye 22 453 1.6× 138 0.8× 171 1.1× 44 0.3× 200 1.5× 70 1.4k
Edgar Delvin Canada 25 311 1.1× 391 2.4× 255 1.7× 44 0.3× 30 0.2× 64 2.0k
Binita Goswami India 20 132 0.5× 235 1.4× 217 1.4× 111 0.8× 16 0.1× 85 1.4k
Qingshan Zheng China 22 127 0.5× 142 0.9× 164 1.1× 13 0.1× 23 0.2× 129 1.7k
Fabian Eichelmann Germany 18 369 1.3× 129 0.8× 192 1.3× 35 0.3× 15 0.1× 33 1.2k
N. Victor Germany 16 110 0.4× 108 0.7× 131 0.9× 10 0.1× 55 0.4× 46 1.5k
Mathias Bruegel Germany 17 155 0.6× 55 0.3× 134 0.9× 65 0.5× 14 0.1× 35 1.0k
Zehuai Wen China 18 87 0.3× 63 0.4× 124 0.8× 30 0.2× 15 0.1× 111 1.2k
Nataša Bogavac‐Stanojević Serbia 18 132 0.5× 221 1.3× 233 1.6× 143 1.0× 10 0.1× 107 1.3k
Naotake Yanagisawa Japan 26 687 2.5× 165 1.0× 130 0.9× 30 0.2× 11 0.1× 86 1.9k

Countries citing papers authored by V. Mallika

Since Specialization
Citations

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

Fields of papers citing papers by V. Mallika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Mallika

This figure shows the co-authorship network connecting the top 25 collaborators of V. Mallika. A scholar is included among the top collaborators of V. Mallika 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 V. Mallika. V. Mallika 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.
Rajappa, Medha, et al.. (2013). D-Dimer assay as a non invasive test for the diagnosis of left atrial Thrombi in Indian patients with Rheumatic MS. African Health Sciences. 13(3). 584–589. 4 indexed citations
3.
Tayal, Devika, et al.. (2012). Interaction between dyslipidaemia, oxidative stress and inflammatory response in patients with angiographically proven coronary artery disease. Cardiovascular journal of South Africa. 23(1). 23–27. 4 indexed citations
4.
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
5.
Tayal, Devika, et al.. (2011). Role of homocysteine and lipoprotein (A) in atherosclerosis: An update. Biomedical Research-tokyo. 22(4). 0. 11 indexed citations
6.
Viswanathan, Rajlakshmi, et al.. (2011). Research Letters. Indian Pediatrics. 48(2). 153–157. 13 indexed citations
7.
Vaishya, Raju, et al.. (2010). Modification of Jaffe’s kinetic method decreases bilirubin interference: A preliminary report. Indian Journal of Clinical Biochemistry. 25(1). 64–66. 24 indexed citations
8.
Juneja, Monica, Rahul Jain, Vikrant Singh, & V. Mallika. (2010). Iron deficiency in Indian children with attention deficit hyperactivity disorder. Indian Pediatrics. 47(11). 955–958. 54 indexed citations
9.
Goswami, Binita, Bhawna Singh, Ranjna Chawla, Vinod Kumar Gupta, & V. Mallika. (2010). Turn Around Time (TAT) as a Benchmark of Laboratory Performance. Indian Journal of Clinical Biochemistry. 25(4). 376–379. 57 indexed citations
10.
Singh, Bhawna, et al.. (2010). Evaluation of errors in a clinical laboratory: a one-year experience. Clinical Chemistry and Laboratory Medicine (CCLM). 48(1). 63–66. 81 indexed citations
11.
Singh, Bhawna, Binita Goswami, & V. Mallika. (2010). Association between insulin resistance and hypothyroidism in females attending a tertiary care hospital. Indian Journal of Clinical Biochemistry. 25(2). 141–145. 53 indexed citations
12.
Garelnabi, Mahdi, Vinod Kumar Gupta, V. Mallika, & Jayashree Bhattacharjee. (2010). Platelets oxidative stress in Indian patients with ischemic heart disease. Journal of Clinical Laboratory Analysis. 24(1). 49–54. 10 indexed citations
13.
Arora, Sarika, et al.. (2009). Biochemical markers of liver and kidney function are influenced by thyroid function-a case-controlled follow up study in Indian hypothyroid subjects. Indian Journal of Clinical Biochemistry. 24(4). 370–374. 34 indexed citations
14.
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
15.
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
16.
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
17.
Sharma, Jai Bhagwan, et al.. (2004). A prospective, partially randomized study of pregnancy outcomes and hematologic responses to oral and intramuscular iron treatment in moderately anemic pregnant women. American Journal of Clinical Nutrition. 79(1). 116–122. 40 indexed citations
18.
Mallika, V., et al.. (2003). Kinetic analysis of LDL oxidation in IHD and IHD risk subjects in Indian population. Indian Journal of Clinical Biochemistry. 18(1). 35–45.
19.
Sethi, Ashwani, et al.. (2002). Gabapentin and lamotrigine in Indian patients of partial epilepsy refractory to carbamazepine.. PubMed. 50(3). 359–63. 15 indexed citations
20.
Chawla, Sanjay, Satinder Aneja, Ravi Kashyap, & V. Mallika. (2002). Etiology and clinical predictors of intractable epilepsy. Pediatric Neurology. 27(3). 186–191. 72 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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