Ruth Eichner

1.3k citations
18 papers · 1.1k · h-index 11

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 5
    • Acute Myeloid Leukemia Research 5
    • Drug Transport and Resistance Mechanisms 2

Ruth Eichner

18 papers receiving 1.0k citations

Peers

Ruth Eichner
Comparison fields: 5 of 91
  • Hematology 232
  • Cancer Research 133
  • Oncology 234
  • Molecular Biology 632
  • Genetics 58
Replace Elizabeth C. Townsend with:
Elizabeth C. Townsend United States
Casie Reed United States
Kate E. Jarman Australia
Hayato Hirai Japan
Andrea Newbold Australia
Paula A. Schneider United States
R. Keaney Rathbun United States
Antoine Désilets Canada
Michele Olivieri Italy
Chun Shik Park United States
Ruth Eichner relative to Elizabeth C. Townsend United States Elizabeth C. Townsend's profile →
Citations per field
00.5×1.5×
Elizabeth C. Townsend · 1×
Citations per year

Countries citing papers authored by Ruth Eichner

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Eichner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013218
2 2016159
3 2021139
4 1985119
5 201097
6 201284
7 201866
8 201249
9 202149
10 201839
11 201821
12 20218
13 20117
14 20134
15 20202
16 20242
17 20242
18 20121

About Ruth Eichner

Ruth Eichner is a scholar working on Hematology, Oncology, Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (6 papers), Multiple Myeloma Research and Treatments (5 papers), Acute Myeloid Leukemia Research (5 papers), Ubiquitin and proteasome pathways (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (232 citations), Cancer Research (133 citations), Oncology (234 citations), Molecular Biology (632 citations) and Genetics (58 citations). Ruth Eichner has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include Florian C. Bassermann, Michele Pagano, Arno Müllbacher, Paul Waring, Giulio Superti‐Furga, Enrico Girardi, Vanesa Fernández‐Sáiz, Bianca‐Sabrina Targosz, Mari Hashimoto and Christian Peschel. Their work appears in journals such as Leukemia, Blood, Annals of Hematology, ACS Chemical Biology and Biochimica et Biophysica Acta (BBA) - Molecular Cell 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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