Maja Jagodic

11.2k citations
101 papers · 3.0k indexed · 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

Papers in

    • T-cell and B-cell Immunology 17
    • Immune Cell Function and Interaction 13
    • Neuroinflammation and Neurodegeneration Mechanisms 12

Maja Jagodic

99 papers receiving 3.0k citations

Peers

Maja Jagodic
Comparison fields: 5 of 117
  • Neurology 472
  • Immunology 1.0k
  • Developmental Neuroscience 176
  • Pathology and Forensic Medicine 685
  • Biological Psychiatry 84
Replace Fred Lühder with:
Fred Lühder Germany
Bonny Patel United States
Shohreh Issazadeh‐Navikas Denmark
Amy E. Lovett‐Racke United States
Bernadette Kálmán United States
Claudia Cantoni Italy
Ada Yeste United States
Ulf Schulze‐Topphoff United States
Shalina S. Ousman Canada
Iván Mascanfroni Argentina
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Citations per field
00.5×1.5×1.8×
Fred Lühder · 1×
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
#Work
1 202427
2 20237
3 202311
4 202122
5 202012
6 202028
7 2020101
8 202031
9 201946
10 201916
11 2019107
12 201934
13 201911
14 2018161
15 201817
16 201813
17 201661
18 200636
19 200521
20 200442

About Maja Jagodic

Maja Jagodic is a scholar working on Immunology, Neurology, Pathology and Forensic Medicine, Developmental Neuroscience and Cancer Research, having authored 101 papers that have together received 3.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (21 papers), Multiple Sclerosis Research Studies (19 papers), T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Cancer-related molecular mechanisms research (12 papers), Cytokine Signaling Pathways and Interactions (12 papers) and MicroRNA in disease regulation (11 papers). The work is most often cited by research in Neurology (472 citations), Immunology (1.0k citations), Developmental Neuroscience (176 citations), Pathology and Forensic Medicine (685 citations) and Biological Psychiatry (84 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, Stephan Ruhrmann, David Gómez-Cabrero, Milena Z. Adzemovic, Robert A. Harris and Eliane Piket. Their work appears in journals such as The Journal of Immunology, Genes and Immunity, Epigenetics, Nature Communications and Multiple Sclerosis Journal.

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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