Aruna Subramanian

7.3k citations
73 papers · 2.8k indexed · 2 hit papers · h-index 24
Topics
COVID-19 Clinical Research Studies (12 papers)Mycobacterium research and diagnosis (11 papers)Fungal Infections and Studies (9 papers)
Partner nations
United StatesIndiaSpain

In The Last Decade

Aruna Subramanian

62 papers receiving 2.7k citations

Hit Papers

A single-cell atlas of the peripheral immune response in ...202020262022202420202023250500750

Peers

Aruna Subramanian
Comparison fields: 5 of 127
  • Infectious Diseases 1.4k
  • Epidemiology 818
  • Neurology 604
  • Molecular Biology 544
  • Immunology 451
Replace Maria Rosa Ciardi with:
Maria Rosa Ciardi Italy
Julian Schulze zur Wiesch Germany
Jian Zheng United States
Salvador Resino Spain
Donald D. Anthony United States
Karl B. Seydel United States
C. Juárez Spain
Nicole Mayer-Hamblett United States
Maurice R.G. O’Gorman United States
Cecilia M. Shikuma United States
Aruna Subramanian relative to Maria Rosa Ciardi Italy Maria Rosa Ciardi's profile →
Citations per field
00.5×2.8×
Maria Rosa Ciardi · 1×
Citations per year

Countries citing papers authored by Aruna Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Aruna Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aruna Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Aruna Subramanian. A scholar is included among the top collaborators of Aruna Subramanian 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 Aruna Subramanian. Aruna Subramanian 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
#WorkIndexed citations
1 0
2 0
3 15
4 2
5 0
6 2
7 2
8 129
9 17
10 25
11
A single-cell atlas of the peripheral immune response in patients with severe COVID-19breakdown →
915
12 179
13 100
14 21
15 40
16 121
17 12
18 23
19 46
20 230

About Aruna Subramanian

Aruna Subramanian is a scholar working on Microbiology, Infectious Diseases and Transplantation, having authored 73 papers that have together received 2.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (12 papers), Mycobacterium research and diagnosis (11 papers) and Fungal Infections and Studies (9 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Transplantation (167 citations) and Neurology (604 citations). Aruna Subramanian has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Donald M. Miller, Philip Grant, Angela J. Rogers, Catherine A. Blish, Arjun Rustagi, Jonasel Roque, Thanmayi Ranganath, Laura J. Simpson, Giovanny J. Martínez-Colón and Julia L. McKechnie. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Nature 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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