Marisa S. Egan

690 citations
16 papers · 462 indexed · h-index 10

Impact in

Papers in

Marisa S. Egan

16 papers receiving 441 citations

Peers

Marisa S. Egan
Comparison fields: 5 of 75
  • Endocrinology 86
  • Analytical Chemistry 64
  • Molecular Medicine 29
  • Biotechnology 46
  • Health, Toxicology and Mutagenesis 69
Replace Yaligara Veeranagouda with:
Yaligara Veeranagouda South Korea
Jin-Suk Kim South Korea
Beatriz Merchel Piovesan Pereira United States
Michelle Rudden United Kingdom
Xiaoling Deng China
Xianxuan Zhou China
Akbar Espaillat Sweden
Juana María Navarro Lloréns Spain
Sahib Gul Afridi Pakistan
Chunyan Shao China
Marisa S. Egan relative to Yaligara Veeranagouda South Korea Yaligara Veeranagouda's profile →
Citations per field
00.5×2.9×
Yaligara Veeranagouda · 1×
Citations per year

Countries citing papers authored by Marisa S. Egan

Since Specialization
Citations

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

Fields of papers citing papers by Marisa S. Egan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marisa S. Egan. 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 Marisa S. Egan. The network helps show where Marisa S. Egan may publish in the future.

Co-authors

The 25 scholars most cited alongside Marisa S. Egan, 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 Marisa S. Egan Line = papers co-authored together Marisa S. Egan links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20241
2 20241
3 20242
4 20232
5 202320
6 202340
7 202311
8 202245
9 20221
10 20193
11 201930
12 201828
13 201628
14 201621
15 201615
16 1978214

About Marisa S. Egan

Marisa S. Egan is a scholar working on Endocrinology, Infectious Diseases, Molecular Medicine, Genetics and Nephrology, having authored 16 papers that have together received 462 indexed citations. Recurring topics across this work include Escherichia coli research studies (6 papers), Inflammasome and immune disorders (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Bacterial Genetics and Biotechnology (4 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Bacteriophages and microbial interactions (2 papers), Amoebic Infections and Treatments (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Endocrinology (86 citations), Analytical Chemistry (64 citations), Molecular Medicine (29 citations), Biotechnology (46 citations) and Health, Toxicology and Mutagenesis (69 citations). Marisa S. Egan has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include King‐Thom Chung, George E. Fulk, Sunny Shin, Shantanu Bhatt, Chirag Upreti, Isabella Rauch, Igor E. Brodsky, Nawar Naseer, W. P. Scott and Jasmine Ramirez. Their work appears in journals such as Microbial Pathogenesis, Biological Procedures Online, Infection and Immunity, Cell Reports and Antimicrobial Agents and Chemotherapy.

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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