Axel Schulz
Impact in
- Hematology top 1%
- Iron Metabolism and Disorders
- Erythropoietin and Anemia Treatment
- Microbiology top 1%
- Antimicrobial Peptides and Activities
Papers in
-
- Antimicrobial Peptides and Activities 6
- Immunology 17
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 4
- Co-authors
- Susanne NeitzHans‐Jürgen MägertAlexander KrauseWolf‐Georg ForssmannPeter Schulz‐KnappeA. HasselblattHenrik E. MeiKnut Adermann
- Journals
- Cytometry Part A (3 papers)The Journal of Immunology (3 papers)Naunyn-Schmiedeberg s Archives of Pharmacology (3 papers)Foot and Ankle Surgery (2 papers)Biochemistry (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Axel Schulz
79 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Hematology 931
- Microbiology 349
- Genetics 588
- Nutrition and Dietetics 552
- Neurology 296
Countries citing papers authored by Axel Schulz
This map shows the geographic impact of Axel Schulz'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 Axel Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Axel Schulz more than expected).
Fields of papers citing papers by Axel Schulz
This network shows the impact of papers produced by Axel Schulz. 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 Axel Schulz. The network helps show where Axel Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Axel Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 17 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 5 | |
| 4 | 2019 | 36 | |
| 5 | 2018 | 296 | |
| 6 | 2017 | 17 | |
| 7 | 2016 | 12 | |
| 8 | 2015 | 15 | |
| 9 | 2015 | 39 | |
| 10 | 2015 | 76 | |
| 11 | A Fine-Grained Sentiment Analysis Approach for Detecting Crisis Related Microposts | 2013 | 38 |
| 12 | Using data mining on linked open data for analyzing E-procurement information | 2013 | 4 |
| 13 | Crisis Information Management in the Web 3.0 Age | 2012 | 20 |
| 14 | 2012 | 7 | |
| 15 | 2010 | 16 | |
| 16 | 2005 | 9 | |
| 17 | 2004 | 34 | |
| 18 | 2004 | 13 | |
| 19 | 2002 | 25 | |
| 20 | 1989 | 108 |
About Axel Schulz
Axel Schulz is a scholar working on Microbiology, Immunology, Communication, Geography, Planning and Development and Rheumatology, having authored 82 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Single-cell and spatial transcriptomics (10 papers), T-cell and B-cell Immunology (9 papers), Antimicrobial Peptides and Activities (6 papers), Public Relations and Crisis Communication (5 papers), Complex Network Analysis Techniques (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Hematology (931 citations), Microbiology (349 citations), Genetics (588 citations), Nutrition and Dietetics (552 citations) and Neurology (296 citations). Axel Schulz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Susanne Neitz, Hans‐Jürgen Mägert, Alexander Krause, Wolf‐Georg Forssmann, Peter Schulz‐Knappe, A. Hasselblatt, Henrik E. Mei, Knut Adermann, Enno Klüver and Andreas Grützkau. Their work appears in journals such as Cytometry Part A, The Journal of Immunology, Naunyn-Schmiedeberg s Archives of Pharmacology, Foot and Ankle Surgery and Biochemistry.
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.