Eunice N. Hatada

2.0k citations
17 papers · 1.7k indexed · h-index 13
  • Immunology top 2%
    • Immune Response and Inflammation 7
    • interferon and immune responses 6
    • Immunotherapy and Immune Responses 2
    • NF-κB Signaling Pathways 7
    • RNA modifications and cancer 2
    • Metabolism, Diabetes, and Cancer 2
  • Oncology top 10%
    • Cancer-related Molecular Pathways 2
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments 3

Eunice N. Hatada

17 papers receiving 1.7k citations

Peers

Eunice N. Hatada
Comparison fields: 5 of 95
  • Immunology 1.0k
  • Cancer Research 734
  • Molecular Biology 673
  • Oncology 257
  • Hematology 96
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Ingrid Mecklenbräuker United States
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Eunice N. Hatada relative to Ingrid Mecklenbräuker United States Ingrid Mecklenbräuker's profile →
Citations per field
00.5×1.6×
Ingrid Mecklenbräuker · 1×
Citations per year

Countries citing papers authored by Eunice N. Hatada

Since Specialization
Citations

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

Fields of papers citing papers by Eunice N. Hatada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eunice N. Hatada. 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 Eunice N. Hatada. The network helps show where Eunice N. Hatada may publish in the future.

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20051
2 20051
3 200586
4 2003112
5 200260
6 2001115
7 200016
8 200097
9 2000295
10 2000359
11 199380
12 1992207
13 1991205
14 199138
15 198933
16 19887
17 19867

About Eunice N. Hatada

Eunice N. Hatada is a scholar working on Immunology, Cancer Research and Hematology, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), NF-κB Signaling Pathways (7 papers), interferon and immune responses (6 papers), Multiple Myeloma Research and Treatments (3 papers), RNA modifications and cancer (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Immunotherapy and Immune Responses (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Immunology (1.0k citations), Cancer Research (734 citations) and Molecular Biology (673 citations). Eunice N. Hatada has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Claus Scheidereit, Daniel Krappmann, Selina Chen‐Kiang, Richard Kinh Gian, David M. Hilbert, Michelle R. Tourigny, Hayyoung Lee, Michael Naumann, Rolf Meyer and Vigo Heissmeyer. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Proceedings of the National Academy of Sciences, Blood and Cancer Research.

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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