Rama Akondy

9.5k citations
42 papers · 5.0k indexed · 3 hit papers · h-index 25

Rama Akondy

41 papers receiving 5.0k citations

Hit Papers

Proliferation of PD-1+ CD8 T cells in perip...5822008202620142020250500750

Peers

Rama Akondy
Comparison fields: 5 of 101
  • Virology 773
  • Immunology 3.0k
  • Infectious Diseases 1.3k
  • Oncology 1.1k
  • Epidemiology 1.0k
Replace Devon J. Shedlock with:
Devon J. Shedlock United States
Rosemary Rochford United States
Ingo Drexler Germany
Liisa K. Selin United States
Can Keşmir Netherlands
Kaja Murali‐Krishna United States
Carla Oseroff United States
Allan Zajac United States
Simon M. Barratt‐Boyes United States
Christine Trumpfheller United States
Rama Akondy relative to Devon J. Shedlock United States Devon J. Shedlock's profile →
Citations per field
00.5×10×13×
Devon J. Shedlock · 1×
Citations per year

Countries citing papers authored by Rama Akondy

Since Specialization
Citations

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

Fields of papers citing papers by Rama Akondy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rama Akondy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rama Akondy Line = papers co-authored together Rama Akondy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202112
3 20213
4 202013
5 201953
6 20194
7 201942
8 201887
9 201749
10 20177
11 2015206
12 201313
13 2013265
14 201290
15 2011332
16 201140
17 2009239
18 20091
19 200827
20
HIV-1 vaccine-induced immunity in the test-of-concept Step Study: a case–cohort analysisbreakdown →
2008517

About Rama Akondy

Rama Akondy is a scholar working on Virology, Immunology and Infectious Diseases, having authored 42 papers that have together received 5.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), Immunotherapy and Immune Responses (15 papers), T-cell and B-cell Immunology (13 papers), Mosquito-borne diseases and control (10 papers), Viral Infections and Outbreaks Research (9 papers), vaccines and immunoinformatics approaches (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Virology (773 citations), Immunology (3.0k citations) and Infectious Diseases (1.3k citations). Rama Akondy has collaborated with scholars based in United States, France and India. Frequent co-authors include Rafi Ahmed, Joseph D. Miller, Mark J. Mulligan, Ben Youngblood, Bali Pulendran, Jaikumar Duraiswamy, Dirk E. Teuwen, David Masopust, Srilatha Edupuganti and Helder I. Nakaya. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

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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