Sandeep K. Botla

1.7k citations
5 papers · 1.0k indexed · 1 hit paper · h-index 5

Impact in

Papers in

    • MicroRNA in disease regulation 1
    • Cancer Genomics and Diagnostics 1
    • Epigenetics and DNA Methylation 3
    • CRISPR and Genetic Engineering 2
    • Single-cell and spatial transcriptomics 1
    • Cancer-related gene regulation 1
    • RNA and protein synthesis mechanisms 1

Sandeep K. Botla

5 papers receiving 984 citations

Hit Papers

CRISPR–Cas9 genome editing induces a p53-mediated DNA damage response 2018 · 853 citations
8532018202620202023250500750

Peers

Sandeep K. Botla
Comparison fields: 5 of 69
  • Business and International Management 79
  • Aging 59
  • Molecular Biology 912
  • Genetics 258
  • Oncology 176
Replace Jenna Persson with:
Jenna Persson Sweden
Emma Haapaniemi Finland
Wei Wen China
Dong Woo Song South Korea
Ricardo Dolmetsch Switzerland
M. Kyle Cromer United States
Ya-Wen Fu China
Lin Ye United States
Zhenning He United States
King L. Hung United States
Sandeep K. Botla relative to Jenna Persson Sweden Jenna Persson's profile →
Citations per field
00.5×1.5×
Jenna Persson · 1×
Citations per year

Countries citing papers authored by Sandeep K. Botla

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep K. Botla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandeep K. Botla. 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 Sandeep K. Botla. The network helps show where Sandeep K. Botla may publish in the future.

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
CRISPR–Cas9 genome editing induces a p53-mediated DNA damage response
Hit paper breakdown →
2018853
2 201743
3 201667
4 201526
5 201216

About Sandeep K. Botla

Sandeep K. Botla is a scholar working on Cancer Research, Molecular Biology, Genetics, Epidemiology and Infectious Diseases, having authored 5 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (2 papers), MicroRNA in disease regulation (1 paper), Single-cell and spatial transcriptomics (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Cancer-related gene regulation (1 paper), Cancer Genomics and Diagnostics (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Business and International Management (79 citations), Aging (59 citations), Molecular Biology (912 citations), Genetics (258 citations) and Oncology (176 citations). Sandeep K. Botla has collaborated with scholars based in Germany, Finland and Sweden. Frequent co-authors include Bernhard Schmierer, Jussi Taipale, Jenna Persson, Emma Haapaniemi, Teemu Kivioja, Jilin Zhang, Mikko Turunen, Jörg D. Hoheisel, Pouria Jandaghi and Evgeny A. Moskalev. Their work appears in journals such as Breast Cancer Research and Treatment, Nature Medicine, Oncotarget, Cancer Research and Molecular Systems Biology.

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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