Garima Pant

535 total citations
22 papers, 383 citations indexed

About

Garima Pant is a scholar working on Molecular Biology, Microbiology and Infectious Diseases. According to data from OpenAlex, Garima Pant has authored 22 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Microbiology and 5 papers in Infectious Diseases. Recurrent topics in Garima Pant's work include Antimicrobial Peptides and Activities (9 papers), Tuberculosis Research and Epidemiology (4 papers) and Biochemical and Structural Characterization (4 papers). Garima Pant is often cited by papers focused on Antimicrobial Peptides and Activities (9 papers), Tuberculosis Research and Epidemiology (4 papers) and Biochemical and Structural Characterization (4 papers). Garima Pant collaborates with scholars based in India and United States. Garima Pant's co-authors include Kalyan Mitra, P. K. Agrawal, Amit Misra, Jitender Madan, A. Gupta, Manish K. Chourasia, Neeraj Kumar Verma, Jimut Kanti Ghosh, Manju Yasoda Krishnan and Manoj Kathuria and has published in prestigious journals such as Journal of Medicinal Chemistry, Microbiology and Archives of Microbiology.

In The Last Decade

Garima Pant

22 papers receiving 374 citations

Peers

Garima Pant
Comparison fields: 5 of 72
  • Molecular Biology 142
  • Plant Science 118
  • Epidemiology 73
  • Infectious Diseases 71
  • Microbiology 68
Replace Maria Loose with:
Maria Loose Germany
Virginie Gueguen‐Chaignon France
Jarosław Ciekot Poland
Maikel Acosta‐Zaldívar United States
Dong-Hyeon Kwon United States
Verónica Veses Spain
Ágnes Jakab Hungary
Kazuma Yamauchi Japan
Hamid Morovati Iran
Gabriella Piatti Italy
Maria Loose Germany View profile →
Citations per field, relative to Garima Pant
Garima Pant · 1×
Citations per year, relative to Garima Pant
Garima Pant · 1×

Countries citing papers authored by Garima Pant

Since Specialization
Citations

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

Fields of papers citing papers by Garima Pant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garima Pant

This figure shows the co-authorship network connecting the top 25 collaborators of Garima Pant. A scholar is included among the top collaborators of Garima Pant 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 Garima Pant. Garima Pant 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
# Work Indexed citations
1 2
2 4
3 5
4 25
5 6
6 1
7 22
8 18
9 3
10 11
11 7
12 10
13 8
14 37
15 28
16 20
17 5
18 7
19 13
20
Impact of WTO on Bilateral Trade Between India and China
2

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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