Marta Schips

434 citations
7 papers · 200 · h-index 5

Impact in

    • COVID-19 epidemiological studies
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 2
    • COVID-19 epidemiological studies 1

Marta Schips

7 papers receiving 199 citations

Peers

Marta Schips
Comparison fields: 5 of 52
  • Modeling and Simulation 56
  • Immunology 73
  • Infectious Diseases 40
  • Obstetrics and Gynecology 6
  • Oncology 20
Replace Christine Prosperi with:
Christine Prosperi United States
Sahamoddin Khailaie Germany
Tanmay Mitra Germany
Jonas B. Sandbrink United Kingdom
Dafina Nikolova North Macedonia
John R. Ngowi Tanzania
Bryan Valcarcel-Valdivia United States
Lydia Riepler Austria
Patrícia Figueiredo‐Campos Portugal
Julie Ostrowsky United States
Marta Schips relative to Christine Prosperi United States Christine Prosperi's profile →
Citations per field
00.5×2×3×
Christine Prosperi · 1×
Citations per year

Countries citing papers authored by Marta Schips

Since Specialization
Citations

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

Fields of papers citing papers by Marta Schips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202153
2 202048
3 202143
4 202139
5 202311
6 20223
7 20243

About Marta Schips

Marta Schips is a scholar working on Immunology, Modeling and Simulation, Obstetrics and Gynecology, Infectious Diseases and Oncology, having authored 7 papers that have together received 200 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), COVID-19 Clinical Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), CAR-T cell therapy research (1 paper), COVID-19 Impact on Reproduction (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Modeling and Simulation (56 citations), Immunology (73 citations), Infectious Diseases (40 citations), Obstetrics and Gynecology (6 citations) and Oncology (20 citations). Marta Schips has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Michael Meyer‐Hermann, Arnab Bandyopadhyay, Tanmay Mitra, Sebastian C. Binder, Pietro Mascheroni, Berit Lange, Sahamoddin Khailaie, Patrizio Vanella, Alejo Efeyan and Dinis Pedro Calado. Their work appears in journals such as Frontiers in Immunology, iScience, Proceedings of the National Academy of Sciences, BMC Medicine and The Journal of Experimental Medicine.

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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