Eva Mikaelsson

657 total citations
13 papers, 493 citations indexed

About

Eva Mikaelsson is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Eva Mikaelsson has authored 13 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Hematology. Recurrent topics in Eva Mikaelsson's work include Chronic Lymphocytic Leukemia Research (6 papers), Glycosylation and Glycoproteins Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Eva Mikaelsson is often cited by papers focused on Chronic Lymphocytic Leukemia Research (6 papers), Glycosylation and Glycoproteins Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Eva Mikaelsson collaborates with scholars based in Sweden, Iran and Germany. Eva Mikaelsson's co-authors include Håkan Mellstedt, Anders Österborg, Amir Hossein Daneshmanesh, Hodjattallah Rabbani, Mahmood Jeddi‐Tehrani, Fazel Shokri, Parviz Kokhaei, Ali Moshfegh, Abdul Salam Khan and Mohammad Hojjat‐Farsangi and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Eva Mikaelsson

13 papers receiving 459 citations

Peers

Eva Mikaelsson
Comparison fields: 5 of 67
  • Molecular Biology 242
  • Oncology 195
  • Immunology 158
  • Genetics 125
  • Hematology 65
Replace Abdelhafid Saci with:
Abdelhafid Saci France
JM Heward United Kingdom
Rebeca Dieguez‐Gonzalez Spain
Eva Weisz Austria
Erika Tissino Italy
Misa Imai Japan
Satomi Kuramochi Japan
Pavlína Janovská Czechia
Daniela Asslaber Austria
Sonia Marsilio United States
Abdelhafid Saci France View profile →
Citations per field, relative to Eva Mikaelsson
Eva Mikaelsson · 1×
Citations per year, relative to Eva Mikaelsson
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Countries citing papers authored by Eva Mikaelsson

Since Specialization
Citations

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

Fields of papers citing papers by Eva Mikaelsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Mikaelsson

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Mikaelsson. A scholar is included among the top collaborators of Eva Mikaelsson 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 Mikaelsson. Eva Mikaelsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 83
2 4
3 6
4 14
5 6
6 64
7 142
8 65
9 31
10 2
11 49
12 2
13
Byskeälvens dalgång inom Västerbottens län : geomorfologisk karta, beskrivning och naturvärdesbedömning
25

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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