Eva-Maria Nichols

536 total citations
11 papers, 246 citations indexed

About

Eva-Maria Nichols is a scholar working on Immunology, Molecular Biology and Nephrology. According to data from OpenAlex, Eva-Maria Nichols has authored 11 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Nephrology. Recurrent topics in Eva-Maria Nichols's work include Complement system in diseases (7 papers), Renal Diseases and Glomerulopathies (3 papers) and Inflammasome and immune disorders (3 papers). Eva-Maria Nichols is often cited by papers focused on Complement system in diseases (7 papers), Renal Diseases and Glomerulopathies (3 papers) and Inflammasome and immune disorders (3 papers). Eva-Maria Nichols collaborates with scholars based in United Kingdom, United States and Netherlands. Eva-Maria Nichols's co-authors include Gloria López‐Castejón, Daniel M. Davis, Fatima Martín‐Sánchez, Yu Shi, David Brough, Kevin J. Marchbank, Isabel Y. Pappworth, Matthew C. Pickering, Neil Sheerin and Thomas Barbour and has published in prestigious journals such as Kidney International, Frontiers in Immunology and Oncotarget.

In The Last Decade

Eva-Maria Nichols

11 papers receiving 242 citations

Peers

Eva-Maria Nichols
Comparison fields: 5 of 68
  • Immunology 159
  • Molecular Biology 107
  • Nephrology 50
  • Hematology 42
  • Infectious Diseases 22
Replace Erica Acton with:
Erica Acton Canada
Katherine E. Lintner United States
William Piterboth France
Brieanna M. Hilkin United States
Kassem Safa United States
Patricia Lovelace United States
Judith Zandstra Netherlands
Jacqueline Araújo Brazil
Dawn Chapelle United States
Olga Feld Israel
Erica Acton Canada View profile →
Citations per field, relative to Eva-Maria Nichols
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Citations per year, relative to Eva-Maria Nichols
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Countries citing papers authored by Eva-Maria Nichols

Since Specialization
Citations

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

Fields of papers citing papers by Eva-Maria Nichols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva-Maria Nichols. 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 Eva-Maria Nichols. The network helps show where Eva-Maria Nichols may publish in the future.

Co-authorship network of co-authors of Eva-Maria Nichols

This figure shows the co-authorship network connecting the top 25 collaborators of Eva-Maria Nichols. A scholar is included among the top collaborators of Eva-Maria Nichols based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva-Maria Nichols. Eva-Maria Nichols is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 3
2 7
3 8
4 8
5 22
6 1
7 110
8 9
9 24
10 50
11 4

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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