Florentina Marches

2.5k citations
29 papers · 1.8k indexed · 1 hit paper · h-index 17
Topics
Immunotherapy and Immune Responses (16 papers)Immune Cell Function and Interaction (10 papers)T-cell and B-cell Immunology (7 papers)
Partner nations
United StatesFranceJapan

In The Last Decade

Florentina Marches

28 papers receiving 1.7k citations

Hit Papers

Development and function of human innate immune cells in ...20142026201820222014100200300400500

Peers

Florentina Marches
Comparison fields: 5 of 96
  • Immunology 1.0k
  • Oncology 559
  • Molecular Biology 378
  • Epidemiology 149
  • Genetics 149
Replace Horacio M. Serra with:
Horacio M. Serra Argentina
Tatyana Chtanova Australia
Andrea Itano United States
Paul Rogers United States
Alfonso Martin‐Fontecha United Kingdom
Pieter Spee Denmark
Belinda Palermo Italy
Ronald Godiska United States
Juan Dubrot Spain
Kristen J. Radford Australia
Florentina Marches relative to Horacio M. Serra Argentina Horacio M. Serra's profile →
Citations per field
00.5×3.0×
Horacio M. Serra · 1×
Citations per year

Countries citing papers authored by Florentina Marches

Since Specialization
Citations

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

Fields of papers citing papers by Florentina Marches

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florentina Marches

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 6
4 19
5 1
6 6
7 4
8 20
9
Development and function of human innate immune cells in a humanized mouse modelbreakdown →
540
10 65
11 143
12 1
13 1
14 49
15 41
16 110
17 20
18 26
19 24
20
[Tumor necrosis factor or cachectin].
1

About Florentina Marches

Florentina Marches is a scholar working on Immunology, Oncology and Parasitology, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (16 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Immunology (1.0k citations), Oncology (559 citations) and Immunology and Allergy (80 citations). Florentina Marches has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Karolina Palucka, Jacques Banchereau, Jan Martínek, Richard A. Flavell, Anthony Rongvaux, Till Strowig, Tim Willinger, Lino L. Teichmann, Yasuyuki Saito and Markus G. Manz. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology 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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