Niladri Ganguly

871 citations
19 papers · 621 indexed · h-index 11
Topics
Tuberculosis Research and Epidemiology (4 papers)Cervical Cancer and HPV Research (4 papers)MicroRNA in disease regulation (4 papers)
Partner nations
IndiaItalyGermany

In The Last Decade

Niladri Ganguly

18 papers receiving 581 citations

Peers

Niladri Ganguly
Comparison fields: 5 of 84
  • Molecular Biology 246
  • Epidemiology 220
  • Immunology 173
  • Infectious Diseases 165
  • Oncology 137
Replace Wei-Lun Huang with:
Wei-Lun Huang Taiwan
Viviana P. Lutzky Australia
D Riedel Germany
M. Cardinali United States
Karthik Sathiyamoorthy United States
Melissa de los Reyes United States
Emma Jaeger United Kingdom
Christy M. Hebner United States
Yinghu Chen China
Cinzia Borgogna Italy
Niladri Ganguly relative to Wei-Lun Huang Taiwan Wei-Lun Huang's profile →
Citations per field
00.5×1.7×
Wei-Lun Huang · 1×
Citations per year

Countries citing papers authored by Niladri Ganguly

Since Specialization
Citations

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

Fields of papers citing papers by Niladri Ganguly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niladri Ganguly

This figure shows the co-authorship network connecting the top 25 collaborators of Niladri Ganguly. A scholar is included among the top collaborators of Niladri Ganguly 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 Niladri Ganguly. Niladri Ganguly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 3
3 4
4 5
5 17
6 5
7 9
8 14
9 134
10 59
11 14
12 21
13 101
14
Mycobacterium tuberculosis secreted antigen (MTSA-10) inhibits macrophage response to lipopolysaccharide by redox regulation of phosphatases.
3
15 66
16 46
17 99
18 18
19
Oxygen free radicals and protective effect of captopril on myocardial infarct size.
3

About Niladri Ganguly

Niladri Ganguly is a scholar working on Cancer Research, Epidemiology and Infectious Diseases, having authored 19 papers that have together received 621 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Cervical Cancer and HPV Research (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Infectious Diseases (165 citations), Immunology (173 citations) and Epidemiology (220 citations). Niladri Ganguly has collaborated with scholars based in India, Italy and Germany. Frequent co-authors include Suraj P. Parihar, Pawan Sharma, Imran Siddiqui, Sandip K. Basu, Pham Huong Giang, Dinakar M. Salunke, Subrata Chakrabarti, Fayaz Ahmad Mir, Dinesh Kumar Singh and Kirti Kulkarni. Their work appears in journals such as FEBS Journal, Genomics and Computers in Biology and Medicine.

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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