Prahlad T. Ram

13.8k citations
67 papers · 8.5k indexed · 4 hit papers · h-index 39
Topics
MicroRNA in disease regulation (12 papers)Gene Regulatory Network Analysis (12 papers)Bioinformatics and Genomic Networks (12 papers)

In The Last Decade

Prahlad T. Ram

67 papers receiving 8.4k citations

Hit Papers

Exploiting the PI3K/AKT Pathway for Cancer Drug Discovery2002202620102018200520022010201650010001.5k

Peers

Prahlad T. Ram
Comparison fields: 5 of 153
  • Molecular Biology 6.0k
  • Oncology 2.0k
  • Cancer Research 1.9k
  • Genetics 688
  • Immunology 626
Replace Nicholas C. Popescu with:
Nicholas C. Popescu United States
Jorma J. Palvimo Finland
Ashani T. Weeraratna United States
Jacques E. Dumont Belgium
Sheng‐Cai Lin China
Stefan Wiemann Germany
Thomas N. Seyfried United States
Ji Luo United States
Christian M. Metallo United States
Cheolju Lee South Korea
Prahlad T. Ram relative to Nicholas C. Popescu United States Nicholas C. Popescu's profile →
Citations per field
00.5×1.5×2.1×
Nicholas C. Popescu · 1×
Citations per year

Countries citing papers authored by Prahlad T. Ram

Since Specialization
Citations

This map shows the geographic impact of Prahlad T. Ram'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 Prahlad T. Ram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prahlad T. Ram more than expected).

Fields of papers citing papers by Prahlad T. Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prahlad T. Ram. 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 Prahlad T. Ram. The network helps show where Prahlad T. Ram may publish in the future.

Co-authorship network of co-authors of Prahlad T. Ram

This figure shows the co-authorship network connecting the top 25 collaborators of Prahlad T. Ram. A scholar is included among the top collaborators of Prahlad T. Ram 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 Prahlad T. Ram. Prahlad T. Ram 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 29
2 13
3 10
4 77
5 5
6 48
7 148
8 53
9 15
10 28
11 74
12 40
13 177
14 164
15 67
16 87
17 126
18 53
19 113
20 72

About Prahlad T. Ram

Prahlad T. Ram is a scholar working on Cancer Research, Endocrine and Autonomic Systems and Molecular Biology, having authored 67 papers that have together received 8.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Gene Regulatory Network Analysis (12 papers) and Bioinformatics and Genomic Networks (12 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (6.0k citations) and Endocrine and Autonomic Systems (508 citations). Prahlad T. Ram has collaborated with scholars based in United States, United Kingdom and Puerto Rico. Frequent co-authors include Ravi Iyengar, Gordon B. Mills, Yiling Lu, Bryan T. Hennessy, Debra L. Smith, Susana R. Neves, Richard M. Schultz, Upinder S. Bhalla, Kakajan Komurov and Steven M. Hill. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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