Malte Aßhoff

1.5k citations
16 papers · 1.3k · 1 hit paper · h-index 12

Impact in

  • Neurology top 5%
    • Long-Term Effects of COVID-19
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Iron Metabolism and Disorders 10
    • Erythropoietin and Anemia Treatment 3
    • Long-Term Effects of COVID-19 3

Malte Aßhoff

15 papers receiving 1.2k citations

Malte Aßhoff's Hit Papers

Cardiopulmonary recovery after COVID-19: an observational prospective multicentre trial 2020 · 340 citations
3400+2+4Years since publication100200300

Peers

Malte Aßhoff
Comparison fields: 5 of 95
  • Neurology 297
  • Genetics 169
  • Hematology 247
  • Immunology 131
  • Infectious Diseases 112
Replace Saravanan Subramaniam with:
Saravanan Subramaniam United States
Joanna Matowicka-Karna Poland
Sumio Miyazaki Japan
Yanli Wang China
Jinzhuo Luo China
Olga Ciepiela Poland
Lydie Viatte France
Hongxing Li China
Kiyokazu Ozaki Japan
Malte Aßhoff relative to Saravanan Subramaniam United States Saravanan Subramaniam's profile →
Citations per field
00.5×2×4×6×7.8×
Saravanan Subramaniam · 1×
Citations per year

Countries citing papers authored by Malte Aßhoff

Since Specialization
Citations

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

Fields of papers citing papers by Malte Aßhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2016346
2
Cardiopulmonary recovery after COVID-19: an observational prospective multicentre trial
Hit paper breakdown →
2020340
3 2017204
4 2014109
5 201560
6 202037
7 201435
8 202030
9 202223
10 202320
11 202319
12 201713
13 20229
14 20157
15 20163
16 20190

About Malte Aßhoff

Malte Aßhoff is a scholar working on Hematology, Neurology, Immunology, Genetics and Surgery, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (10 papers), Erythropoietin and Anemia Treatment (3 papers), Long-Term Effects of COVID-19 (3 papers), Cholesterol and Lipid Metabolism (2 papers), Salmonella and Campylobacter epidemiology (1 paper), Phagocytosis and Immune Regulation (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Neurology (297 citations), Genetics (169 citations), Hematology (247 citations), Immunology (131 citations) and Infectious Diseases (112 citations). Malte Aßhoff has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Igor Theurl, David Haschka, Günter Weiß, Manfred Nairz, Egon Demetz, Wilfried Posch, Markus Seifert, Verena Petzer, Piotr Tymoszuk and Matthew R. Warr. Their work appears in journals such as Blood, Haematologica, European Journal of Immunology, Nature Medicine and Cell Metabolism.

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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