Ram Yogendra

619 total citations · 1 hit paper
8 papers, 300 citations indexed

About

Ram Yogendra is a scholar working on Infectious Diseases, Neurology and Molecular Biology. According to data from OpenAlex, Ram Yogendra has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Neurology and 4 papers in Molecular Biology. Recurrent topics in Ram Yogendra's work include COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (5 papers) and Inflammasome and immune disorders (3 papers). Ram Yogendra is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (5 papers) and Inflammasome and immune disorders (3 papers). Ram Yogendra collaborates with scholars based in United States, Costa Rica and India. Ram Yogendra's co-authors include Rodrígo Mora, José Guevara-Coto, Bruce K. Patterson, Javier Mora, Purvi Parikh, Edgar B. Francisco, Amruta Pise, Dennis T. Maglinte, Paul T. Scott and Emily Long and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Frontiers in Medicine.

In The Last Decade

Ram Yogendra

7 papers receiving 293 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) up to 15 Months Post-Infection

2022 154 citations Bruce K. Patterson, Edgar B. Francisco et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ram Yogendra United States	4	216	179	57	39	34	8	300
Edgar B. Francisco Costa Rica	4	208 1.0×	174 1.0×	54 0.9×	37 0.9×	33 1.0×	4	286
Purvi Parikh United States	5	212 1.0×	191 1.1×	56 1.0×	38 1.0×	31 0.9×	7	320
Elizabeth Zapata Colombia	7	202 0.9×	149 0.8×	43 0.8×	24 0.6×	31 0.9×	8	351
Simone Turner Denmark	4	184 0.9×	114 0.6×	60 1.1×	37 0.9×	35 1.0×	5	257
Sara Hasler Switzerland	4	161 0.7×	126 0.7×	39 0.7×	22 0.6×	28 0.8×	4	222
Melina Stüssi‐Helbling Switzerland	7	224 1.0×	246 1.4×	61 1.1×	24 0.6×	34 1.0×	15	386
Yasmeen Senussi United States	4	265 1.2×	292 1.6×	95 1.7×	41 1.1×	47 1.4×	6	455
Stefan Angermair Germany	7	221 1.0×	262 1.5×	30 0.5×	41 1.1×	38 1.1×	24	409
Riccardo Levi Italy	6	154 0.7×	186 1.0×	28 0.5×	15 0.4×	29 0.9×	19	304
Lavanya Visvabharathy United States	13	111 0.5×	127 0.7×	78 1.4×	32 0.8×	41 1.2×	24	362

Countries citing papers authored by Ram Yogendra

Since Specialization

Citations

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

Fields of papers citing papers by Ram Yogendra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Yogendra

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

All Works

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8 of 8 papers shown

1.

Yogendra, Ram, et al.. (2025). Perioperative and anesthetic considerations for post-acute sequelae of COVID (PASC)/long COVID. Perioperative Medicine. 14(1). 80–80.

2.

Patterson, Bruce K., Ram Yogendra, Edgar B. Francisco, et al.. (2025). Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals. Human Vaccines & Immunotherapeutics. 21(1). 2494934–2494934. 4 indexed citations

3.

Yogendra, Ram, et al.. (2024). Enhancing Image Recognition for Security Applications: A Machine Learning Approach. 1–6. 1 indexed citations

4.

Patterson, Bruce K., José Guevara-Coto, Javier Mora, et al.. (2024). Long COVID diagnostic with differentiation from chronic lyme disease using machine learning and cytokine hubs. Scientific Reports. 14(1). 19743–19743. 3 indexed citations

5.

Kumar, V. D. Ambeth, et al.. (2024). Enhanced Alzheimer’s Disease Prediction through Advanced Imaging: A Study of Machine Learning and Deep Learning Approaches. 1177–1182. 2 indexed citations

6.

Patterson, Bruce K., Ram Yogendra, José Guevara-Coto, et al.. (2023). Case series: Maraviroc and pravastatin as a therapeutic option to treat long COVID/Post-acute sequelae of COVID (PASC). Frontiers in Medicine. 10. 1122529–1122529. 11 indexed citations

7.

Patterson, Bruce K., Edgar B. Francisco, Ram Yogendra, et al.. (2022). Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) up to 15 Months Post-Infection. Frontiers in Immunology. 12. 746021–746021. 154 indexed citations breakdown →

8.

Patterson, Bruce K., José Guevara-Coto, Ram Yogendra, et al.. (2021). Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning. Frontiers in Immunology. 12. 700782–700782. 125 indexed citations

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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