Padmanaban Venkatesan

598 citations
17 papers · 314 indexed · h-index 7
Topics
Iron Metabolism and Disorders (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
Partner nations
IndiaSwedenUnited States

In The Last Decade

Padmanaban Venkatesan

14 papers receiving 310 citations

Peers

Padmanaban Venkatesan
Comparison fields: 5 of 88
  • Surgery 84
  • Genetics 75
  • Molecular Biology 72
  • Epidemiology 64
  • Endocrinology, Diabetes and Metabolism 55
Replace Nina L. Knatz with:
Nina L. Knatz United States
Fatma El‐Mougy Egypt
Giuseppe Guido Maria Scarlata Italy
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Citations per field
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Citations per year

Countries citing papers authored by Padmanaban Venkatesan

Since Specialization
Citations

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

Fields of papers citing papers by Padmanaban Venkatesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padmanaban Venkatesan

This figure shows the co-authorship network connecting the top 25 collaborators of Padmanaban Venkatesan. A scholar is included among the top collaborators of Padmanaban Venkatesan 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 Padmanaban Venkatesan. Padmanaban Venkatesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 1
6 5
7 8
8 2
9 56
10 10
11 3
12 17
13 89
14
Blood Biochemical, Enzymatic and Haematological Status of Dogs Affected with Dilated Cardiomyopathy
0
15
RELATIONSHIP BETWEEN CIGARETTE SMOKING AND NOVEL RISK FACTORS FOR CARDIOVASCULAR DISEASE.
5
16 7
17 109

About Padmanaban Venkatesan

Padmanaban Venkatesan is a scholar working on Applied Microbiology and Biotechnology, Hematology and Modeling and Simulation, having authored 17 papers that have together received 314 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Molecular Medicine (23 citations), Endocrinology, Diabetes and Metabolism (55 citations) and Genetics (75 citations). Padmanaban Venkatesan has collaborated with scholars based in India, Sweden and United States. Frequent co-authors include Nihal Thomas, Shajith Anoop, Senthil K. Vasan, Mini Joseph, Hesarghatta Shyamasunder Asha, Aaron Chapla, Sarah Mathai, Thomas V. Paul, Samuel George Hansdak and Finney S. Geethanjali. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Clinical Endocrinology and International Journal of Infectious Diseases.

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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