Chaitali Nikam

717 total citations
25 papers, 433 citations indexed

About

Chaitali Nikam is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Chaitali Nikam has authored 25 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 17 papers in Infectious Diseases and 7 papers in Molecular Biology. Recurrent topics in Chaitali Nikam's work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (15 papers) and Antibiotic Resistance in Bacteria (6 papers). Chaitali Nikam is often cited by papers focused on Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (15 papers) and Antibiotic Resistance in Bacteria (6 papers). Chaitali Nikam collaborates with scholars based in India, United States and Switzerland. Chaitali Nikam's co-authors include Anjali Shetty, Camilla Rodrigues, Mubin Kazi, Kanchan Ajbani, Timothy C. Rodwell, Antonino Catanzaro, Rajeev Soman, Meeta Sadani, Sophia B. Georghiou and Priti Kambli and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Microbiology.

In The Last Decade

Chaitali Nikam

22 papers receiving 428 citations

Peers

Chaitali Nikam
Comparison fields: 5 of 54
  • Infectious Diseases 325
  • Epidemiology 276
  • Surgery 112
  • Molecular Medicine 110
  • Molecular Biology 69
Replace Mubin Kazi with:
Mubin Kazi India
Kanchan Ajbani India
Arzu Nazlı Türkiye
Manuel Causse Spain
Viral Vadwai India
R. Casillo Italy
Reihaneh Hosseinpour Sadeghi Iran
Yi-Tsung Lin Taiwan
Kyle D. Brizendine United States
Sujata Baveja India
Mubin Kazi India View profile →
Citations per field, relative to Chaitali Nikam
Chaitali Nikam · 1×
Citations per year, relative to Chaitali Nikam
Chaitali Nikam · 1×

Countries citing papers authored by Chaitali Nikam

Since Specialization
Citations

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

Fields of papers citing papers by Chaitali Nikam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaitali Nikam

This figure shows the co-authorship network connecting the top 25 collaborators of Chaitali Nikam. A scholar is included among the top collaborators of Chaitali Nikam 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 Chaitali Nikam. Chaitali Nikam 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 1
2 4
3 2
4 1
5 2
6 0
7 2
8 2
9 2
10 8
11 26
12 42
13 22
14 65
15 56
16 31
17 0
18 85
19 41
20 17

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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