Lekshmi R. Nath

1.4k citations
65 papers · 986 indexed · h-index 18
Topics
Computational Drug Discovery Methods (6 papers)Liver Disease Diagnosis and Treatment (6 papers)Ginger and Zingiberaceae research (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Lekshmi R. Nath

62 papers receiving 959 citations

Peers

Lekshmi R. Nath
Comparison fields: 5 of 100
  • Molecular Biology 353
  • Pharmacology 163
  • Oncology 128
  • Organic Chemistry 125
  • Epidemiology 119
Replace Dejuan Sun with:
Dejuan Sun China
Pengtao You China
Liu Yan-wen China
Dipta Dey Bangladesh
Baoshun Zhang China
Cunsi Shen China
Hsiu‐Chen Huang Taiwan
Gurdarshan Singh India
Iqra Sarfraz Pakistan
Wan Liao China
Lekshmi R. Nath relative to Dejuan Sun China Dejuan Sun's profile →
Citations per field
00.5×
Dejuan Sun · 1×
Citations per year

Countries citing papers authored by Lekshmi R. Nath

Since Specialization
Citations

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

Fields of papers citing papers by Lekshmi R. Nath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lekshmi R. Nath. 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 Lekshmi R. Nath. The network helps show where Lekshmi R. Nath may publish in the future.

Co-authorship network of co-authors of Lekshmi R. Nath

This figure shows the co-authorship network connecting the top 25 collaborators of Lekshmi R. Nath. A scholar is included among the top collaborators of Lekshmi R. Nath 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 Lekshmi R. Nath. Lekshmi R. Nath 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 3
2 6
3 20
4 8
5 5
6 13
7 9
8 9
9 7
10 4
11 5
12 30
13 15
14 10
15 6
16 13
17 31
18 24
19
In Silico Evaluation of Kaempferol and Its Semisynthetic Derivative As mTORC1 Inhibitor Against Hepatocellular Carcinoma Using Molecular Docking and ADMET Analysis
1
20 37

About Lekshmi R. Nath

Lekshmi R. Nath is a scholar working on Pharmacology, Toxicology and Hepatology, having authored 65 papers that have together received 986 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Ginger and Zingiberaceae research (5 papers). The work is most often cited by research in Pharmacology (163 citations), Molecular Medicine (46 citations) and Complementary and alternative medicine (73 citations). Lekshmi R. Nath has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Bhagyalakshmi Nair, Aswathy R. Devan, Ruby John Anto, Vinod Balachandran, Arun Kumar T. Thulasidasan, E. V. Soniya, Smitha V. Bava, Bijo Mathew, Ravi S. Lankalapalli and Hoon Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026