Ankita Garg

951 total citations
23 papers, 729 citations indexed

About

Ankita Garg is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Ankita Garg has authored 23 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 5 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Ankita Garg's work include Immune Cell Function and Interaction (10 papers), Immune cells in cancer (8 papers) and Immune Response and Inflammation (4 papers). Ankita Garg is often cited by papers focused on Immune Cell Function and Interaction (10 papers), Immune cells in cancer (8 papers) and Immune Response and Inflammation (4 papers). Ankita Garg collaborates with scholars based in United States, India and United Kingdom. Ankita Garg's co-authors include Peter F. Barnes, Ramakrishna Vankayalapati, Stephen A. Spector, Shiping Wu, Sugata Roy, David Cosman, Angel Porgador, David E. Griffith, William M. Girard and Peter Klucar and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Ankita Garg

22 papers receiving 719 citations

Peers

Ankita Garg
Comparison fields: 5 of 75
  • Immunology 550
  • Epidemiology 168
  • Infectious Diseases 162
  • Oncology 84
  • Molecular Biology 81
Replace Alice Mayer with:
Alice Mayer Belgium
Yinghong Hu China
Wenwei Yin China
Dalila Mele Italy
Lee-Ann Van de Velde United States
Priscila R. Andrade Brazil
Jayendra Kumar Krishnaswamy United States
Birthe Jessen Germany
Ângela C. Crespo United States
Verónica Athié-Morales Ireland
Alice Mayer Belgium View profile →
Citations per field, relative to Ankita Garg
Ankita Garg · 1×
Citations per year, relative to Ankita Garg
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Countries citing papers authored by Ankita Garg

Since Specialization
Citations

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

Fields of papers citing papers by Ankita Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankita Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Ankita Garg. A scholar is included among the top collaborators of Ankita Garg 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 Ankita Garg. Ankita Garg 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 2
3 7
4 0
5 3
6 6
7 5
8 34
9 5
10 6
11 12
12 28
13 2
14 79
15 85
16 127
17
NK Cells Lyse T Regulatory Cells in Human Infection with An Intracellular Pathogen
1
18 144
19 158
20 7

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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