Archana Vijayakumar

2.8k citations
32 papers · 2.1k indexed · 1 hit paper · h-index 20
Topics
Metabolism, Diabetes, and Cancer (10 papers)Adipose Tissue and Metabolism (9 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)

In The Last Decade

Archana Vijayakumar

30 papers receiving 2.1k citations

Hit Papers

Metabolites as regulators of insulin sensitivity and meta...20182026202020232018100200300400

Peers

Archana Vijayakumar
Comparison fields: 5 of 100
  • Molecular Biology 980
  • Endocrinology, Diabetes and Metabolism 710
  • Physiology 557
  • Epidemiology 496
  • Cancer Research 337
Replace Sungsoon Fang with:
Sungsoon Fang South Korea
Dipanjan Chanda South Korea
Adriano Maida Germany
Daniel F. Vatner United States
Jörg Kotzka Germany
Pierre‐Damien Denechaud France
Kyriakos E. Kypreos Greece
Josep Julve Spain
Kristiaan Wouters Netherlands
Réjane Paumelle France
Archana Vijayakumar relative to Sungsoon Fang South Korea Sungsoon Fang's profile →
Citations per field
00.5×1.5×1.8×
Sungsoon Fang · 1×
Citations per year

Countries citing papers authored by Archana Vijayakumar

Since Specialization
Citations

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

Fields of papers citing papers by Archana Vijayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Vijayakumar

This figure shows the co-authorship network connecting the top 25 collaborators of Archana Vijayakumar. A scholar is included among the top collaborators of Archana Vijayakumar 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 Archana Vijayakumar. Archana Vijayakumar 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
#WorkIndexed citations
1 0
2 1
3 1
4 9
5 2
6 39
7 154
8 61
9
Metabolites as regulators of insulin sensitivity and metabolismbreakdown →
475
10 36
11 109
12 21
13 75
14 58
15 219
16 34
17 55
18 38
19 70
20 104

About Archana Vijayakumar

Archana Vijayakumar is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Hepatology, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Adipose Tissue and Metabolism (9 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (710 citations), Cancer Research (337 citations) and Physiology (557 citations). Archana Vijayakumar has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Barbara B. Kahn, Shoshana Yakar, Qin Yang, Ruslan Novosyadlyy, Derek LeRoith, Derek LeRoith, Yingjie Wu, Yvonne Fierz, Danielle Lann and Naamit Kurshan. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Nature Medicine.

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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2026