Chirag Jain

11.0k citations
36 papers · 3.8k indexed · 1 hit paper · h-index 11
Topics
Genomics and Phylogenetic Studies (15 papers)RNA and protein synthesis mechanisms (6 papers)Chromosomal and Genetic Variations (6 papers)

In The Last Decade

Chirag Jain

30 papers receiving 3.7k citations

Hit Papers

High throughput ANI analysis of 90K prokaryotic genomes r...2018202620202023201810002.0k3.0k

Peers

Chirag Jain
Comparison fields: 5 of 149
  • Molecular Biology 2.3k
  • Ecology 1.2k
  • Plant Science 801
  • Food Science 432
  • Endocrinology 350
Replace Mikhail Kolmogorov with:
Mikhail Kolmogorov United States
James Drake United States
Jeffrey Yuan United States
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Aaron A. Klammer United States
Margaret Priest United States
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Matthew R. Laird Canada
Karin Lagesen Norway
Chirag Jain relative to Mikhail Kolmogorov United States Mikhail Kolmogorov's profile →
Citations per field
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Mikhail Kolmogorov · 1×
Citations per year

Countries citing papers authored by Chirag Jain

Since Specialization
Citations

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

Fields of papers citing papers by Chirag Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chirag Jain. 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 Chirag Jain. The network helps show where Chirag Jain may publish in the future.

Co-authorship network of co-authors of Chirag Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Chirag Jain. A scholar is included among the top collaborators of Chirag Jain 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 Chirag Jain. Chirag Jain 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 2
2 0
3 0
4 4
5 1
6 1
7 1
8 0
9 3
10 35
11 54
12 6
13 116
14 6
15 107
16 99
17 85
18
High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundariesbreakdown →
3074
19
Production Ready Chatbots: Generate if not Retrieve
4
20 73

About Chirag Jain

Chirag Jain is a scholar working on Artificial Intelligence, Toxicology and Molecular Biology, having authored 36 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), RNA and protein synthesis mechanisms (6 papers) and Chromosomal and Genetic Variations (6 papers). The work is most often cited by research in Endocrinology (350 citations), Molecular Medicine (299 citations) and Ecology (1.2k citations). Chirag Jain has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Adam M. Phillippy, Srinivas Aluru, Luis M. Rodriguez‐R, Konstantinos T. Konstantinidis, Sergey Koren, Alexander Dilthey, Arang Rhie, Nancy F. Hansen, Haowen Zhang and Brian P. Walenz. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

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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