Silvia Millán‐Martín

1.4k citations
35 papers · 992 indexed · h-index 17

Silvia Millán‐Martín

35 papers receiving 962 citations

Peers

Silvia Millán‐Martín
Comparison fields: 5 of 97
  • Biochemistry 126
  • Analytical Chemistry 141
  • Spectroscopy 211
  • Radiology, Nuclear Medicine and Imaging 275
  • Molecular Biology 672
Replace Domenico Taverna with:
Domenico Taverna Italy
Carmen Lúcia Cardoso Brazil
Olga Yu. Selyutina Russia
Camelia Oprean Romania
Jiaju Zhou China
Jitka Moravcová Czechia
Xie‐an Yu China
Carlo Barnaba United States
Yanyan Xu China
Silvia Millán‐Martín relative to Domenico Taverna Italy Domenico Taverna's profile →
Citations per field
00.5×10×15×18.3×
Domenico Taverna · 1×
Citations per year

Countries citing papers authored by Silvia Millán‐Martín

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Millán‐Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Millán‐Martín. 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 Silvia Millán‐Martín. The network helps show where Silvia Millán‐Martín may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20239
4 20237
5 20237
6 20225
7 202220
8 202126
9 20212
10 202047
11 202014
12 201932
13 201756
14 20174
15 201620
16 201632
17 201612
18 2009224
19 200715
20 200657

About Silvia Millán‐Martín

Silvia Millán‐Martín is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Analytical Chemistry, having authored 35 papers that have together received 992 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (20 papers), Protein purification and stability (14 papers), Glycosylation and Glycoproteins Research (13 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Biosimilars and Bioanalytical Methods (4 papers), RNA Interference and Gene Delivery (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). The work is most often cited by research in Biochemistry (126 citations), Analytical Chemistry (141 citations) and Spectroscopy (211 citations). Silvia Millán‐Martín has collaborated with scholars based in Ireland, United States and Spain. Frequent co-authors include Jonathan Bones, Lluı́s Arola, Josep Valls, Eva Borràs, Pauline M. Rudd, Sara Carillo, M. Carmen Sampedro, Ramón J. Barrio, Craig Jakes and M. Aránzazu Goicolea. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Analytical and Bioanalytical Chemistry, Journal of Proteome Research, Analytica Chimica Acta and Analytical Chemistry.

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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