Antonio Serrano

127 papers receiving 3.9k citations

Peers

Antonio Serrano
Comparison fields: 5 of 167
  • Applied Microbiology and Biotechnology 90
  • Immunology 649
  • Rheumatology 439
  • Immunology and Allergy 144
  • Hematology 222
Replace Shi Chen with:
Shi Chen China
Lai Wang United States
Hui Li China
Elisabetta Falcieri Italy
Richard L. Eckert United States
Feng Jiang China
J. Andrés Melendez United States
Kathleen Kelly United States
Matthew E. Burow United States
Wan L. Lam Canada
Antonio Serrano relative to Shi Chen China Shi Chen's profile →
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Citations per year

Countries citing papers authored by Antonio Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999238
2 2000214
3 1998188
4 1998169
5 1995147
6 2004145
7 2020129
8 2021120
9 2008111
10 1999109
11 2005100
12 200396
13 200394
14 200287
15 200677
16 199875
17 200865
18 200659
19 200955
20 200355

About Antonio Serrano

Antonio Serrano is a scholar working on Molecular Biology, Rheumatology, Immunology, Hematology and Oncology, having authored 130 papers that have together received 4.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (23 papers), Platelet Disorders and Treatments (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Analytical chemistry methods development (8 papers), Chemokine receptors and signaling (8 papers), COVID-19 Clinical Research Studies (7 papers), T-cell and B-cell Immunology (7 papers) and Renal Diseases and Glomerulopathies (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (90 citations), Immunology (649 citations), Rheumatology (439 citations), Immunology and Allergy (144 citations) and Hematology (222 citations). Antonio Serrano has collaborated with scholars based in Spain, Israel and United States. Frequent co-authors include Carlos Martínez‐A, M. Gallego, Mario Mellado, José Miguel Rodrı́guez-Frade, Manuel Serrano, Estela Paz‐Artal, Mercedes Gallego, Francisco Córdoba, José M. Villalba and Óscar Cabrera-Marante. Their work appears in journals such as Journal of Chromatography A, Frontiers in Immunology, International Journal of Molecular Sciences, European Journal of Immunology and Journal of Immunological Methods.

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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