Suresh Kumar Rayala

4.4k citations
101 papers · 3.6k · h-index 34

Impact in

Papers in

    • MicroRNA in disease regulation 5
    • Breast Cancer Treatment Studies 5
    • Estrogen and related hormone effects 18

Suresh Kumar Rayala

99 papers receiving 3.5k citations

Peers

Suresh Kumar Rayala
Comparison fields: 5 of 89
  • Cancer Research 355
  • Otorhinolaryngology 108
  • Molecular Biology 843
  • Oncology 288
  • Drug Discovery 1
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Shen Shen China
Sung-Hak Kim South Korea
Junnian Zheng China
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Michael K. Wendt United States
Zurab Siprashvili United States
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Citations per field
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Citations per year

Countries citing papers authored by Suresh Kumar Rayala

Since Specialization
Citations

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

Fields of papers citing papers by Suresh Kumar Rayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suresh Kumar Rayala. 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 Suresh Kumar Rayala. The network helps show where Suresh Kumar Rayala may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008252
2 2005239
3 2009197
4 2008172
5 2006170
6 2007115
7 2006114
8 2006105
9 2015102
10 200795
11 200593
12 200682
13 200682
14 200978
15 200972
16 200461
17 200561
18 201360
19 200658
20 200755

About Suresh Kumar Rayala

Suresh Kumar Rayala is a scholar working on Cancer Research, Genetics, Molecular Biology, Computational Theory and Mathematics and Oncology, having authored 101 papers that have together received 3.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (18 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Computational Drug Discovery Methods (7 papers), MicroRNA in disease regulation (5 papers), Breast Cancer Treatment Studies (5 papers), Microtubule and mitosis dynamics (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (355 citations), Otorhinolaryngology (108 citations), Molecular Biology (843 citations), Oncology (288 citations) and Drug Discovery (1 citation). Suresh Kumar Rayala has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Rakesh Kumar, Kazufumi Ohshiro, Rakesh Kumar, Sirigiri Divijendra Natha Reddy, Ratna K. Vadlamudi, Seetharaman Balasenthil, Rakesh Kumar, Poonam R. Molli, Ganesh Venkatraman and Suresh B. Pakala. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Proceedings of the National Academy of Sciences, Clinical Cancer Research and Oncogene.

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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