Amruta Pise

1.0k total citations · 1 hit paper
6 papers, 418 citations indexed

About

Amruta Pise is a scholar working on Infectious Diseases, Neurology and Molecular Biology. According to data from OpenAlex, Amruta Pise has authored 6 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Neurology and 1 paper in Molecular Biology. Recurrent topics in Amruta Pise's work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Long-Term Effects of COVID-19 (2 papers). Amruta Pise is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Long-Term Effects of COVID-19 (2 papers). Amruta Pise collaborates with scholars based in United States, Costa Rica and India. Amruta Pise's co-authors include Rodrígo Mora, Edgar B. Francisco, Javier Mora, Purvi Parikh, Ram Yogendra, José Guevara-Coto, Bruce K. Patterson, Priya Ravikumar, Connie C. W. Hsia and Dipendra Gyawali and has published in prestigious journals such as Frontiers in Immunology, Acta Biomaterialia and Human Vaccines & Immunotherapeutics.

In The Last Decade

Amruta Pise

6 papers receiving 407 citations

Hit Papers

align trajectories sort by overperformance

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
Amruta Pise United States	5	205	178	86	85	49	6	418
Jingyi Wu China	10	53 0.3×	90 0.5×	50 0.6×	39 0.5×	4 0.1×	31	319
Zeynab Yassin Iran	7	106 0.5×	166 0.9×	27 0.3×	16 0.2×	3 0.1×	28	296
Kurt Weber United States	7	336 1.6×	38 0.2×	222 2.6×	21 0.2×	2 0.0×	9	519
Giulia Renisi Italy	7	261 1.3×	254 1.4×	31 0.4×	20 0.2×	1 0.0×	18	434
José Guevara-Coto Costa Rica	6	217 1.1×	182 1.0×	84 1.0×	24 0.3×		13	400
Mengya Zhao China	12	182 0.9×	325 1.8×	107 1.2×	15 0.2×	1 0.0×	38	652
Purvi Parikh United States	5	212 1.0×	191 1.1×	56 0.7×	24 0.3×		7	320
Ram Yogendra United States	4	216 1.1×	179 1.0×	57 0.7×	23 0.3×		8	300
Divya P. Prajapati United States	7	469 2.3×	263 1.5×	32 0.4×	42 0.5×		12	900
Edgar B. Francisco Costa Rica	4	208 1.0×	174 1.0×	54 0.6×	21 0.2×		4	286

Countries citing papers authored by Amruta Pise

Since Specialization

Citations

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

Fields of papers citing papers by Amruta Pise

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amruta Pise

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

All Works

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6 of 6 papers shown

1.

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

2.

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 →

3.

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

4.

Pise, Amruta, et al.. (2015). A Review: Data Extraction from multiple web databases. 1 indexed citations

5.

Pise, Amruta, et al.. (2014). Text detection and recognition in natural scene images. 1068–1072. 10 indexed citations

6.

Menon, Jyothi U., Priya Ravikumar, Amruta Pise, et al.. (2014). Polymeric nanoparticles for pulmonary protein and DNA delivery. Acta Biomaterialia. 10(6). 2643–2652. 124 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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