Nikhil Garge

2.2k total citations · 1 hit paper
13 papers, 1.7k citations indexed

About

Nikhil Garge is a scholar working on Molecular Biology, Artificial Intelligence and Immunology. According to data from OpenAlex, Nikhil Garge has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Immunology. Recurrent topics in Nikhil Garge's work include T-cell and B-cell Immunology (3 papers), Bioinformatics and Genomic Networks (3 papers) and Immune Cell Function and Interaction (3 papers). Nikhil Garge is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Bioinformatics and Genomic Networks (3 papers) and Immune Cell Function and Interaction (3 papers). Nikhil Garge collaborates with scholars based in United States, Brazil and China. Nikhil Garge's co-authors include Maureen K. Bunger, Thomas M. O’Connell, Dallas R. Donohoe, Scott J. Bultman, Xinxin Zhang, Wei Sun, Barry Eggleston, Georgiy Bobashev, Robert H. Podolsky and Grier P. Page and has published in prestigious journals such as The Journal of Immunology, Cell Metabolism and Genome biology.

In The Last Decade

Nikhil Garge

12 papers receiving 1.7k citations

Hit Papers

The Microbiome and Butyrate Regulate Energy Metabolism an... 2011 2026 2016 2021 2011 400 800 1.2k

Peers

Nikhil Garge
Comparison fields: 5 of 140
  • Molecular Biology 1.1k
  • Physiology 487
  • Genetics 196
  • Infectious Diseases 196
  • Food Science 193
Replace Ye Jin with:
Ye Jin China
Ludovica Marinelli France
Erica E. Alexeev United States
Jean-Paul Thissen Belgium
Linsheng Huang China
Manoj Gurung United States
Kayla D. Battista United States
Riccardo Zecchi Italy
Cheng Kong China
Lidia Sánchez‐Alcoholado Spain
Ye Jin China View profile →
Citations per field, relative to Nikhil Garge
Nikhil Garge · 1×
Citations per year, relative to Nikhil Garge
Nikhil Garge · 1×

Countries citing papers authored by Nikhil Garge

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Garge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Garge

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 4
2
Technology Assessment of Molecular Pathology Testing for the Estimation of Prognosis for Common Cancers
2
3 0
4 79
5
The Microbiome and Butyrate Regulate Energy Metabolism and Autophagy in the Mammalian Colon breakdown →
1430
6 29
7 5
8 5
9 41
10 34
11 20
12 12
13 39

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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