Maja Jagodic

11.4k citations
101 papers · 3.1k · h-index 32

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • Epigenetics and DNA Methylation 17
    • T-cell and B-cell Immunology 15
    • Immune Cell Function and Interaction 13
    • Immunotherapy and Immune Responses 9

Maja Jagodic

99 papers receiving 3.1k citations

Peers

Maja Jagodic
Comparison fields: 5 of 112
  • Neurology 433
  • Immunology 889
  • Pathology and Forensic Medicine 651
  • Developmental Neuroscience 143
  • Biological Psychiatry 83
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Niels Kruse Germany
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Rosetta Pedotti Italy
Bonny Patel United States
Bernadette Kálmán United States
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Ulf Schulze‐Topphoff United States
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Citations per field
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Citations per year

Countries citing papers authored by Maja Jagodic

Since Specialization
Citations

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

Fields of papers citing papers by Maja Jagodic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005255
2 2018166
3 2013159
4 2019110
5 2020108
6 201685
7 201776
8 201970
9 200970
10 201866
11 201665
12 201360
13 201360
14 201058
15 201055
16 201752
17 200550
18 201946
19 201946
20 201245

About Maja Jagodic

Maja Jagodic is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 101 papers that have together received 3.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (20 papers), Epigenetics and DNA Methylation (17 papers), T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Immunotherapy and Immune Responses (9 papers), Cytokine Signaling Pathways and Interactions (9 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Neurology (433 citations), Immunology (889 citations), Pathology and Forensic Medicine (651 citations), Developmental Neuroscience (143 citations) and Biological Psychiatry (83 citations). Maja Jagodic has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Tomas Olsson, Lara Kular, Fredrik Piehl, Mohsen Khademi, Ewoud Ewing, David Gómez-Cabrero, Milena Z. Adzemovic, Robert A. Harris, Manuel Zeitelhofer and Eliane Piket. Their work appears in journals such as The Journal of Immunology, Genes and Immunity, Epigenetics, PLoS ONE and Nature Communications.

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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