Suresh S. Pujari

617 citations
24 papers · 530 indexed · h-index 13
    • Click Chemistry and Applications 9
    • DNA and Nucleic Acid Chemistry 7
    • Advanced biosensing and bioanalysis techniques 6
    • Epigenetics and DNA Methylation 5
    • DNA Repair Mechanisms 4
    • Genomics and Chromatin Dynamics 4
    • Cancer therapeutics and mechanisms 2
    • RNA modifications and cancer 2

Suresh S. Pujari

24 papers receiving 522 citations

Peers

Suresh S. Pujari
Comparison fields: 5 of 62
  • Organic Chemistry 341
  • Molecular Biology 299
  • Toxicology 12
  • Catalysis 24
  • Cancer Research 32
Replace Masanori Kataoka with:
Masanori Kataoka Japan
Young S. Lo United States
Vasulinga T. Ravikumar United States
Michael A. Staszak United States
David J. France United Kingdom
Shengkai Ko Taiwan
Eric Johansson United Kingdom
Michail Tsakos Greece
A. S. Prakasha Gowda United States
Ravindra T. Dere Ireland
Suresh S. Pujari relative to Masanori Kataoka Japan Masanori Kataoka's profile →
Citations per field
00.5×11.5×
Masanori Kataoka · 1×
Citations per year

Countries citing papers authored by Suresh S. Pujari

Since Specialization
Citations

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

Fields of papers citing papers by Suresh S. Pujari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202215
2 20212
3 20219
4 20213
5 20211
6 20216
7 20214
8 20217
9 201816
10 201815
11 201810
12
Exploring the Effects of the Chariot Festival of Rato Machindranath on the Urban Morphology of Patan
20141
13 201427
14 201320
15 201116
16 201143
17 201047
18 201030
19 200890
20 2007113

About Suresh S. Pujari

Suresh S. Pujari is a scholar working on Organic Chemistry, Molecular Biology and Parasitology, having authored 24 papers that have together received 530 indexed citations. Recurring topics across this work include Click Chemistry and Applications (9 papers), DNA and Nucleic Acid Chemistry (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Epigenetics and DNA Methylation (5 papers), DNA Repair Mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), Cancer therapeutics and mechanisms (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Organic Chemistry (341 citations), Molecular Biology (299 citations) and Toxicology (12 citations). Suresh S. Pujari has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Frank Seela, K. Venkatesan, Kumar V. Srinivasan, Rajgopal J. Lahoti, Natalia Tretyakova, Hai Xiong, Sachin A. Ingale, Peter Leonard, Ping Ding and Venkata Ramana Sirivolu. Their work appears in journals such as Angewandte Chemie International Edition, Biochemistry and Chemical Communications.

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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