Silva Seraceni

1.2k citations
38 papers · 841 indexed · h-index 19

Impact in

Papers in

Silva Seraceni

38 papers receiving 814 citations

Peers

Silva Seraceni
Comparison fields: 5 of 93
  • Microbiology 188
  • Parasitology 142
  • Epidemiology 391
  • Immunology 185
  • Virology 38
Replace Madhumita Patnaik with:
Madhumita Patnaik United States
Mehrdad Hajilooi Iran
Olcay Yeğin Türkiye
Giovanni Almanzar Germany
Daniëlle Hijdra Netherlands
Niels Anker Peterslund Denmark
Michiel van der Flier Netherlands
Antonio Volpi Italy
Daniel Rukavina Croatia
Marcelo Corti Argentina
Silva Seraceni relative to Madhumita Patnaik United States Madhumita Patnaik's profile →
Citations per field
00.5×
Madhumita Patnaik · 1×
Citations per year

Countries citing papers authored by Silva Seraceni

Since Specialization
Citations

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

Fields of papers citing papers by Silva Seraceni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 201845
3 201711
4 201715
5 201613
6 201537
7 201432
8 201444
9 201436
10 201428
11 201250
12
Role of Toll-like receptors in patients with multiple sclerosis and Chlamydophila pneumoniae infection
20091
13 200917
14 200814
15 200830
16 200570
17 200213
18 200241
19 20013
20 200015

About Silva Seraceni

Silva Seraceni is a scholar working on Microbiology, Parasitology, Virology, Epidemiology and Biological Psychiatry, having authored 38 papers that have together received 841 indexed citations. Recurring topics across this work include Reproductive tract infections research (13 papers), Toxoplasma gondii Research Studies (8 papers), Cervical Cancer and HPV Research (7 papers), Reproductive System and Pregnancy (6 papers), Multiple Sclerosis Research Studies (5 papers), Polyomavirus and related diseases (4 papers), Herpesvirus Infections and Treatments (4 papers) and Acute Ischemic Stroke Management (4 papers). The work is most often cited by research in Microbiology (188 citations), Parasitology (142 citations), Epidemiology (391 citations), Immunology (185 citations) and Virology (38 citations). Silva Seraceni has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Carlo Contini, Enrico Fainardi, Rosario Cultrera, Massimiliano Castellazzi, Enrico Granieri, Carmine Tamborino, Manola Comar, Alessandro Trentini, Adolfo Sebastiani and Maria Rosaria Tola. Their work appears in journals such as European Journal of Clinical Investigation, Journal of Medical Microbiology, Multiple Sclerosis Journal, Journal of Medical Virology and Clinical Microbiology and Infection.

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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