Anil K. Giri

3.9k citations
55 papers · 1.8k indexed · 3 hit papers · h-index 18
Topics
Genetic Associations and Epidemiology (7 papers)Single-cell and spatial transcriptomics (5 papers)Epigenetics and DNA Methylation (5 papers)
Partner nations
IndiaFinlandNepal

In The Last Decade

Anil K. Giri

49 papers receiving 1.8k citations

Hit Papers

SynergyFinder 2.0: visual analytics of multi-drug combina...2020202620222024202020222022100200300400500

Peers

Anil K. Giri
Comparison fields: 5 of 141
  • Molecular Biology 1.0k
  • Oncology 357
  • Cancer Research 276
  • Immunology 200
  • Epidemiology 165
Replace Attila A. Seyhan with:
Attila A. Seyhan United States
Dennis Ma Canada
Yuan Zhou China
Yuan Yuan China
Lei Yan China
Lydie Meheus Belgium
Zodwa Dlamini South Africa
Keunsoo Kang South Korea
Brandon J. Aubrey Australia
Helen Boyd United Kingdom
Anil K. Giri relative to Attila A. Seyhan United States Attila A. Seyhan's profile →
Citations per field
00.5×1.7×
Attila A. Seyhan · 1×
Citations per year

Countries citing papers authored by Anil K. Giri

Since Specialization
Citations

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

Fields of papers citing papers by Anil K. Giri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil K. Giri

This figure shows the co-authorship network connecting the top 25 collaborators of Anil K. Giri. A scholar is included among the top collaborators of Anil K. Giri 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 Anil K. Giri. Anil K. Giri 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 3
2 4
3 0
4 13
5 5
6 5
7 2
8
Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic databreakdown →
298
9 27
10 5
11 24
12 42
13 106
14 7
15 10
16 3
17
Pharmacological Properties of Emodin – Anthraquinone Derivatives
7
18 31
19 26
20
Preliminary investigation of different extracts of Curcuma caesia for its antibacterial effects and cytotoxic activity
1

About Anil K. Giri

Anil K. Giri is a scholar working on Cancer Research, Family Practice and Molecular Medicine, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Single-cell and spatial transcriptomics (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (276 citations), Molecular Biology (1.0k citations) and Oncology (357 citations). Anil K. Giri has collaborated with scholars based in India, Finland and Nepal. Frequent co-authors include Tero Aittokallio, Aleksandr Ianevski, Dwaipayan Bharadwaj, Nikhil Tandon, Alexander Kononov, Krister Wennerberg, Prson Gautam, Jani Saarela, Swapnil Potdar and Analabha Basu. Their work appears in journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

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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