M. Pausa

1.1k citations
17 papers · 949 · h-index 11

Impact in

  • Immunology top 5%
    • Complement system in diseases
    • Biomarkers in Disease Mechanisms
    • Reproductive System and Pregnancy

Papers in

    • Complement system in diseases 10
    • Biomarkers in Disease Mechanisms 1
    • Platelet Disorders and Treatments 5
    • Blood Coagulation and Thrombosis Mechanisms 3

M. Pausa

17 papers receiving 931 citations

Peers

M. Pausa
Comparison fields: 5 of 78
  • Immunology 689
  • Transplantation 34
  • Parasitology 84
  • Hematology 132
  • Nephrology 72
Replace Rémi Noé with:
Rémi Noé France
Peter N. Lalli United States
Maria C. Faber‐Krol Netherlands
Siegfried Goerg Germany
CJ Parker United States
Angelica Beate Winter Boldt Brazil
Vittorio Francavilla Italy
H. Dunckley Australia
Yakup Tanriver Germany
Chandra Raykundalia United Kingdom
M. Pausa relative to Rémi Noé France Rémi Noé's profile →
Citations per field
00.5×1.5×1.9×
Rémi Noé · 1×
Citations per year

Countries citing papers authored by M. Pausa

Since Specialization
Citations

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

Fields of papers citing papers by M. Pausa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1997337
2 1997263
3 200384
4 200268
5 200062
6 200336
7 199621
8 200119
9 200015
10
Peritoneal mesothelial cells produce complement factors and express CD59 that inhibits C5b-9-mediated cell lysis.
199914
11 199911
12 199710
13 19984
14
[The maternal-fetal immune relationship in pregnancy].
19972
15 19981
16 19981
17 19981

About M. Pausa

M. Pausa is a scholar working on Immunology, Hematology, Surgery, Nephrology and Oncology, having authored 17 papers that have together received 949 indexed citations. Recurring topics across this work include Complement system in diseases (10 papers), Platelet Disorders and Treatments (5 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Cell Adhesion Molecules Research (2 papers), Pancreatic function and diabetes (2 papers), Diabetes Management and Research (1 paper), Biomarkers in Disease Mechanisms (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Immunology (689 citations), Transplantation (34 citations), Parasitology (84 citations), Hematology (132 citations) and Nephrology (72 citations). M. Pausa has collaborated with scholars based in Italy, Norway and Japan. Frequent co-authors include Francesco Tedesco, Alberto Mantovani, Martino Introna, Aldo Dobrina, Ermanno Nardon, Cristian Matteucci, Barbara Bottazzi, Elisabetta Gianazza, Mario Salmona and Fabio Spreafico. Their work appears in journals such as Molecular Immunology, American Journal of Reproductive Immunology, The Journal of Experimental Medicine, European Journal of Immunology and Journal of Biological 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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