Marina S. Palermo

2.4k citations
101 papers · 1.8k indexed · h-index 26

Marina S. Palermo

101 papers receiving 1.8k citations

Peers

Marina S. Palermo
Comparison fields: 5 of 104
  • Endocrinology 714
  • Immunology 823
  • Infectious Diseases 533
  • Endocrine and Autonomic Systems 97
  • Hematology 116
Replace D R Spriggs with:
D R Spriggs United States
Jan Hendrik Niess Switzerland
Asit Panja United States
Thomas A. Kufer Germany
Indira U. Mysorekar United States
Mary F. Fontana United States
Ivan Tattoli Canada
Hua Shen United States
Francisco Leyva‐Cobián Spain
J R McGhee United States
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Citations per field
00.5×7.4×
D R Spriggs · 1×
Citations per year

Countries citing papers authored by Marina S. Palermo

Since Specialization
Citations

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

Fields of papers citing papers by Marina S. Palermo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20232
3 20225
4 20215
5 201810
6
Microbiological and serological control of Escherichia coli O157: H7 in kindergarten staff in Buenos Aires city and suburban areas.
20176
7 20143
8 201317
9 201114
10 20061
11 200490
12 200319
13 200310
14 200248
15 2001112
16 200032
17 19969
18 19941
19 199160
20
[Properties of polymorphonuclear leukocytes and serum factors in patients with chronic idiopathic neutropenia].
19832

About Marina S. Palermo

Marina S. Palermo is a scholar working on Endocrinology, Immunology, Infectious Diseases, Hematology and Biotechnology, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Escherichia coli research studies (54 papers), Viral gastroenteritis research and epidemiology (35 papers), Immune Cell Function and Interaction (31 papers), Complement system in diseases (24 papers), Immune Response and Inflammation (10 papers), T-cell and B-cell Immunology (10 papers), Clostridium difficile and Clostridium perfringens research (9 papers) and Neonatal Health and Biochemistry (6 papers). The work is most often cited by research in Endocrinology (714 citations), Immunology (823 citations), Infectious Diseases (533 citations), Endocrine and Autonomic Systems (97 citations) and Hematology (116 citations). Marina S. Palermo has collaborated with scholars based in Argentina, Netherlands and Brazil. Frequent co-authors include Martı́n A. Isturiz, Gabriela Fernández, Carolina Rubel, Mirta Giordano, María Victoria Carballo Calero Ramos, Sonia Gómez, Ramón Exeni, Romina Jimena Fernández‐Brando, Graciela Dran and María Pilar Mejías. Their work appears in journals such as Clinical & Experimental Immunology, Infection and Immunity, Pediatric Nephrology, Vaccine and Blood.

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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