Viney Lather

3.9k citations
100 papers · 2.8k · h-index 27

Impact in

Papers in

Viney Lather

97 papers receiving 2.7k citations

Peers

Viney Lather
Comparison fields: 5 of 146
  • Pharmaceutical Science 489
  • Biomaterials 500
  • Geriatrics and Gerontology 99
  • Molecular Medicine 124
  • Biochemistry 117
Replace Deepti Pandita with:
Deepti Pandita India
Mario Sechi Italy
Shu‐Fen Peng Taiwan
Mahfoozur Rahman India
Hibah M. Aldawsari Saudi Arabia
Ahmed M. Al‐Abd Egypt
Obaid Afzal Saudi Arabia
Maged W. Helmy Egypt
Neeraj Kumar Fuloria Malaysia
Cinzia Anna Ventura Italy
Viney Lather relative to Deepti Pandita India Deepti Pandita's profile →
Citations per field
00.5×1.5×
Deepti Pandita · 1×
Citations per year

Countries citing papers authored by Viney Lather

Since Specialization
Citations

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

Fields of papers citing papers by Viney Lather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Viney Lather, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Viney Lather Line = papers co-authored together Viney Lather links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014434
2 2014192
3 2015170
4 2016145
5 2014111
6 200581
7 201175
8 201475
9 201970
10 201969
11 201568
12 201865
13 201556
14 201755
15 201453
16 200950
17 202247
18 202243
19 202039
20 201839

About Viney Lather

Viney Lather is a scholar working on Molecular Biology, Organic Chemistry, Biomaterials, Computational Theory and Mathematics and Pharmaceutical Science, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Nanoparticle-Based Drug Delivery (14 papers), Advanced Drug Delivery Systems (7 papers), Advancements in Transdermal Drug Delivery (7 papers), RNA Interference and Gene Delivery (6 papers), Pancreatic function and diabetes (6 papers), Graph theory and applications (6 papers) and Retinoids in leukemia and cellular processes (5 papers). The work is most often cited by research in Pharmaceutical Science (489 citations), Biomaterials (500 citations), Geriatrics and Gerontology (99 citations), Molecular Medicine (124 citations) and Biochemistry (117 citations). Viney Lather has collaborated with scholars based in India, Portugal and United States. Frequent co-authors include Deepti Pandita, Sandeep Kumar, Neelam Poonia, Ajmer Singh Grewal, Bhupinder Singh Sekhon, Rajeev Kharb, А. К. Мадан, Harish Dureja, Thirumurthy Velpandian and Tathagata Dutta. Their work appears in journals such as Anti-Cancer Agents in Medicinal Chemistry, Chemico-Biological Interactions, Expert Opinion on Drug Safety, Mini-Reviews in Medicinal Chemistry and Journal of Drug Delivery Science and Technology.

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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