Gerda Silling

3.6k citations
51 papers · 2.0k · h-index 28

Impact in

    • Antifungal resistance and susceptibility
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Antifungal resistance and susceptibility 22
    • Neutropenia and Cancer Infections 14
    • Polyomavirus and related diseases 3

Gerda Silling

50 papers receiving 1.9k citations

Peers

Gerda Silling
Comparison fields: 5 of 95
  • Infectious Diseases 876
  • Hematology 383
  • Epidemiology 776
  • Oncology 522
  • Small Animals 88
Replace Hamdi Akan with:
Hamdi Akan Türkiye
Helen Leather United States
Annamaria Nosari Italy
Luana Fianchi Italy
Martin Schmidt‐Hieber Germany
Anne Thiébaut France
Michael Boeckh United States
Angelika Böhme Germany
Nicole M. A. Blijlevens Netherlands
Simon Daenen Netherlands
Gerda Silling relative to Hamdi Akan Türkiye Hamdi Akan's profile →
Citations per field
00.5×
Hamdi Akan · 1×
Citations per year

Countries citing papers authored by Gerda Silling

Since Specialization
Citations

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

Fields of papers citing papers by Gerda Silling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009154
2 2016146
3 2013127
4 2008115
5 200895
6 201076
7 201175
8 200770
9 201467
10 200360
11 201859
12 201655
13 201654
14 200549
15 201346
16 201346
17 201144
18 200343
19 200543
20 200243

About Gerda Silling

Gerda Silling is a scholar working on Infectious Diseases, Oncology, Epidemiology, Hematology and Genetics, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (22 papers), Fungal Infections and Studies (14 papers), Neutropenia and Cancer Infections (14 papers), Hematopoietic Stem Cell Transplantation (10 papers), Acute Myeloid Leukemia Research (8 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Acute Lymphoblastic Leukemia research (4 papers) and Polyomavirus and related diseases (3 papers). The work is most often cited by research in Infectious Diseases (876 citations), Hematology (383 citations), Epidemiology (776 citations), Oncology (522 citations) and Small Animals (88 citations). Gerda Silling has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Werner Heinz, Georg Maschmeyer, Oliver A. Cornely, Andrew J. Ullmann, Wolfgang E. Berdel, Jörg Janne Vehreschild, Matthias Stelljes, Olaf Penack, Hermann Einsele and Martin Schmidt‐Hieber. Their work appears in journals such as Blood, Annals of Hematology, Bone Marrow Transplantation, Antimicrobial Agents and Chemotherapy and Annals of Oncology.

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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