Ajit Vikram

61 papers receiving 2.1k citations

Hit Papers

Antisense Oligonucleotides: An Emerging Area in Drug Discovery and Development 2020 · 368 citations
3682020202620222024100200300

Peers

Ajit Vikram
Comparison fields: 5 of 121
  • Cancer Research 477
  • Geriatrics and Gerontology 83
  • Urology 136
  • Endocrinology, Diabetes and Metabolism 267
  • Molecular Biology 1.1k
Replace Nehal M. Elsherbiny with:
Nehal M. Elsherbiny Egypt
Guang Wang China
Larisa Nonn United States
Durga Nand Tripathi India
Rie Matsushima‐Nishiwaki Japan
Naoki Harada Japan
Hongting Zheng China
Jung Ok Lee South Korea
Wan Lee South Korea
Ajit Vikram relative to Nehal M. Elsherbiny Egypt Nehal M. Elsherbiny's profile →
Citations per field
00.5×1.5×2.4×
Nehal M. Elsherbiny · 1×
Citations per year

Countries citing papers authored by Ajit Vikram

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Vikram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ajit Vikram, 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 Ajit Vikram Line = papers co-authored together Ajit Vikram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Antisense Oligonucleotides: An Emerging Area in Drug Discovery and Development
Hit paper breakdown →
2020368
2 2013104
3 2016101
4 200997
5 201797
6 200893
7 200976
8 201671
9 201070
10 200864
11 202163
12 201661
13 201058
14 201454
15 201452
16 200950
17 201145
18 201739
19 201338
20 200735

About Ajit Vikram

Ajit Vikram is a scholar working on Cancer Research, Urology, Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 61 papers that have together received 2.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (11 papers), MicroRNA in disease regulation (8 papers), Urinary Bladder and Prostate Research (7 papers), Adipose Tissue and Metabolism (7 papers), RNA Interference and Gene Delivery (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Hormonal and reproductive studies (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). The work is most often cited by research in Cancer Research (477 citations), Geriatrics and Gerontology (83 citations), Urology (136 citations), Endocrinology, Diabetes and Metabolism (267 citations) and Molecular Biology (1.1k citations). Ajit Vikram has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Gopabandhu Jena, Poduri Ramarao, Durga Nand Tripathi, Kaikobad Irani, Young‐Rae Kim, Anisha Gupta, Santosh Kumar, Karishma Dhuri, Raman Bahal and Hà Phạm. Their work appears in journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Biochemical and Biophysical Research Communications, Scientific Reports, European Journal of Pharmacology and Regulatory Toxicology and Pharmacology.

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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