Apurva Narechania

48.3k citations
58 papers · 4.5k indexed · 1 hit paper · h-index 27
Topics
Genomics and Phylogenetic Studies (16 papers)Antimicrobial Resistance in Staphylococcus (12 papers)Genetic diversity and population structure (8 papers)

In The Last Decade

Apurva Narechania

57 papers receiving 4.4k citations

Hit Papers

PANTHER: A Library of Protein Families and Subfamilies In...2003202620102018200350010001.5k2.0k

Peers

Apurva Narechania
Comparison fields: 5 of 151
  • Molecular Biology 2.5k
  • Genetics 794
  • Infectious Diseases 725
  • Plant Science 719
  • Epidemiology 558
Replace Nicola Buso with:
Nicola Buso United Kingdom
Adrian R. Tivey United Kingdom
Fábio Madeira United Kingdom
Harm van Bakel United States
Yongwook Choi United States
Nandana Madhusoodanan United Kingdom
Konstantin Okonechnikov Germany
Haim Ashkenazy Israel
Lydie Bougueleret Switzerland
Nicola Soranzo Italy
Apurva Narechania relative to Nicola Buso United Kingdom Nicola Buso's profile →
Citations per field
00.5×
Nicola Buso · 1×
Citations per year

Countries citing papers authored by Apurva Narechania

Since Specialization
Citations

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

Fields of papers citing papers by Apurva Narechania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apurva Narechania

This figure shows the co-authorship network connecting the top 25 collaborators of Apurva Narechania. A scholar is included among the top collaborators of Apurva Narechania 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 Apurva Narechania. Apurva Narechania 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 0
2 9
3 12
4 25
5 20
6 71
7 33
8 203
9 9
10 49
11 8
12 11
13 85
14 91
15 31
16 8
17 291
18 177
19 35
20
PANTHER: A Library of Protein Families and Subfamilies Indexed by Functionbreakdown →
2281

About Apurva Narechania

Apurva Narechania is a scholar working on Infectious Diseases, Clinical Biochemistry and Paleontology, having authored 58 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Antimicrobial Resistance in Staphylococcus (12 papers) and Genetic diversity and population structure (8 papers). The work is most often cited by research in Infectious Diseases (725 citations), Molecular Biology (2.5k citations) and Clinical Biochemistry (204 citations). Apurva Narechania has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Paul D. Thomas, Huaiyu Mi, Michael J. Campbell, Anushya Muruganujan, Anish Kejariwal, Rob DeSalle, Doreen Ware, Joshua C. Stein, Paul J. Planet and Stefan Kurtz. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026