Kiran Meena

407 citations
23 papers · 180 indexed · h-index 8
Topics
Lipoproteins and Cardiovascular Health (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Synthesis and Characterization of Heterocyclic Compounds (2 papers)

In The Last Decade

Kiran Meena

21 papers receiving 173 citations

Peers

Kiran Meena
Comparison fields: 5 of 79
  • Molecular Biology 41
  • Endocrinology, Diabetes and Metabolism 34
  • Surgery 33
  • Oncology 26
  • Infectious Diseases 25
Replace Junli Zhang with:
Junli Zhang China
Olena Tsyryuk Ukraine
Liuying Chen China
Menglu Fu China
Mobin Malik United States
Jie Cheng China
Atish Gheware India
Carmen Merali United States
Miaomiao Yang China
Kiran Meena relative to Junli Zhang China Junli Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kiran Meena

Since Specialization
Citations

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

Fields of papers citing papers by Kiran Meena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiran Meena

This figure shows the co-authorship network connecting the top 25 collaborators of Kiran Meena. A scholar is included among the top collaborators of Kiran Meena 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 Kiran Meena. Kiran Meena 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 12
3 1
4 0
5 31
6 12
7 4
8 4
9 17
10 3
11 1
12
COMPARISON OF NON STRESS TEST AND UMBILICAL ARTERY DOPPLER IN HIGH-RISK PREGNANCY
2
13 1
14 1
15 7
16 5
17 12
18
Apolipoprotein E polymorphism in cerebrovascular & coronary heart diseases.
40
19 11
20 7

About Kiran Meena

Kiran Meena is a scholar working on Neurology, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 180 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Synthesis and Characterization of Heterocyclic Compounds (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (34 citations), Biological Psychiatry (4 citations) and Infectious Diseases (25 citations). Kiran Meena has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Kalpana Luthra, Anoop Misra, Shajith Anoop, Satyavati Rana, Prabhat Kumar Baroliya, Manisha Naithani, Ashish Kothari, Lalit Kumar Tyagi, Lydie Meheus and Ilse Rooman. Their work appears in journals such as The FASEB Journal, International Journal of Biological Macromolecules and Molecular and Cellular Biochemistry.

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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