Prem Mohan

72 papers receiving 1.6k citations

Peers

Prem Mohan
Comparison fields: 5 of 113
  • Virology 222
  • Infectious Diseases 406
  • Metals and Alloys 36
  • Health, Toxicology and Mutagenesis 193
  • Water Science and Technology 187
Replace Ursula G. Sauer with:
Ursula G. Sauer Germany
Robert Flick Canada
Rongjuan Pei China
Xiaoyan Li China
Yiping Sun United States
Christiane Beer Denmark
Hüseyin Tombuloğlu Saudi Arabia
Greg Brown Canada
Yajing Han China
Prem Mohan relative to Ursula G. Sauer Germany Ursula G. Sauer's profile →
Citations per field
00.5×9.8×
Ursula G. Sauer · 1×
Citations per year

Countries citing papers authored by Prem Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Prem Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989163
2 199298
3 199685
4
Adenovirus-mediated delivery of antisense gene to urokinase-type plasminogen activator receptor suppresses glioma invasion and tumor growth.
199983
5 198879
6 199565
7 198463
8 199261
9 199557
10 199145
11 201341
12 199140
13 198337
14 199934
15 199433
16 198832
17
Adenovirus-mediated antisense urokinase-type plasminogen activator receptor gene transfer reduces tumor cell invasion and metastasis in non-small cell lung cancer cell lines.
200131
18 201328
19 199626
20 201225

About Prem Mohan

Prem Mohan is a scholar working on Virology, Infectious Diseases, Health, Toxicology and Mutagenesis, Metals and Alloys and Analytical Chemistry, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (15 papers), Advancements in Battery Materials (14 papers), Chromium effects and bioremediation (11 papers), HIV Research and Treatment (10 papers), Adsorption and biosorption for pollutant removal (8 papers), Advanced Battery Materials and Technologies (8 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers) and Advanced Battery Technologies Research (6 papers). The work is most often cited by research in Virology (222 citations), Infectious Diseases (406 citations), Metals and Alloys (36 citations), Health, Toxicology and Mutagenesis (193 citations) and Water Science and Technology (187 citations). Prem Mohan has collaborated with scholars based in India, United States and Japan. Frequent co-authors include G. Paruthimal Kalaignan, K. Sivarama Sastry, Radhakrishnan Padmanabhan, R. Padmanabhan, Masanori Baba, Yasuyuki Sasaguri, Robert Putnak, Mark Cushman, Rajendra Singh and Erik De Clercq. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Nanoscience and Nanotechnology, BioMetals, Gene and Biotechnology Letters.

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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