Susan Eckerle

942 citations
12 papers · 574 · h-index 8

Impact in

Papers in

Susan Eckerle

12 papers receiving 572 citations

Peers

Susan Eckerle
Comparison fields: 5 of 65
  • Pathology and Forensic Medicine 229
  • Immunology 163
  • Oncology 176
  • Genetics 52
  • Cancer Research 53
Replace Willi Woessmann with:
Willi Woessmann Germany
Vera Vanhentenrijk Belgium
Finlay MacDougall United Kingdom
Caterina Fusco Italy
Justus Duyster Germany
Patrick Villarèse France
Maria Rosaria Sapienza Italy
Johan Linderoth Sweden
Stephan W. Morris United States
Susan Eckerle relative to Willi Woessmann Germany Willi Woessmann's profile →
Citations per field
00.5×1.5×1.8×
Willi Woessmann · 1×
Citations per year

Countries citing papers authored by Susan Eckerle

Since Specialization
Citations

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

Fields of papers citing papers by Susan Eckerle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008241
2 200999
3 200357
4
Common features and differences in the transcriptome of large cell anaplastic lymphoma and classical Hodgkin's lymphoma.
200650
5 200742
6 201934
7 201726
8
Brune V, Tiacci E, Pfeil I, Döring C, Eckerle S, van Noesel CJ et al.. Origin and pathogenesis of nodular lymphocyte-predominant Hodgkin lymphoma as revealed by global gene expression analysis. J Exp Med 205: 2251-2268
200810
9 20217
10 20186
11 20091
12 20191

About Susan Eckerle

Susan Eckerle is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Immunology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 574 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Immune Cell Function and Interaction (2 papers), Sarcoma Diagnosis and Treatment (1 paper), NF-κB Signaling Pathways (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (229 citations), Immunology (163 citations), Oncology (176 citations), Genetics (52 citations) and Cancer Research (53 citations). Susan Eckerle has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Claudia Döring, Dirk Metzler, Martin‐Leo Hansmann, Ralf Küppers, Andreas Bräuninger, Verena Brune, Brunangelo Falini, Enrico Tiacci, Wolfgang Hiddemann and Ines Pfeil. Their work appears in journals such as The Journal of Experimental Medicine, European Journal of Immunology, Cancer Medicine, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Leukemia.

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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