Schmid-Schönbein Gw
- Pulmonary and Respiratory Medicine
- Immunology
- Molecular Biology
- Biomedical Engineering
- Immunology and Allergy top 10%
- Co-authors
- Yen‐Yu Ian ShihHaruka MurakamiFumitaka IkomiJorge Barroso-ArandaBW ZweifachRichard SkalakShu Chien
- Topics
- Lymphatic System and Diseases (2 papers)Cell Adhesion Molecules Research (2 papers)Blood properties and coagulation (1 paper)
- Journals
- BloodPhysiologyPubMed
- Partner nations
- United States
In The Last Decade
Schmid-Schönbein Gw
10 papers receiving 439 citations
Peers
Comparison fields: 5 of 89
- Pulmonary and Respiratory Medicine 110
- Immunology 98
- Molecular Biology 97
- Biomedical Engineering 89
- Immunology and Allergy 79
Countries citing papers authored by Schmid-Schönbein Gw
This map shows the geographic impact of Schmid-Schönbein Gw'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 Schmid-Schönbein Gw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Schmid-Schönbein Gw more than expected).
Fields of papers citing papers by Schmid-Schönbein Gw
This network shows the impact of papers produced by Schmid-Schönbein Gw. 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 Schmid-Schönbein Gw. The network helps show where Schmid-Schönbein Gw may publish in the future.
Co-authorship network of co-authors of Schmid-Schönbein Gw
This figure shows the co-authorship network connecting the top 25 collaborators of Schmid-Schönbein Gw. A scholar is included among the top collaborators of Schmid-Schönbein Gw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Schmid-Schönbein Gw. Schmid-Schönbein Gw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Size- and surface-dependent uptake of colloid particles into the lymphatic system. | 32 |
| 2 | 10 | |
| 3 | Spontaneous neutrophil activation and the outcome of hemorrhagic shock in rabbits. | 14 |
| 4 | Granulocytes as active participants in acute myocardial ischemia and infarction. | 102 |
| 5 | The microvasculature in skeletal muscle. III. Venous network anatomy in normotensive and spontaneously hypertensive rats. | 23 |
| 6 | Blood flow in contracting arterioles. | 22 |
| 7 | Leukocyte rheology in cardiac ischemia. | 6 |
| 8 | Viscoelastic deformation of white cells: theory and analysis. | 9 |
| 9 | 235 | |
| 10 | 8 |
About Schmid-Schönbein Gw
Schmid-Schönbein Gw is a scholar working on Immunology and Allergy, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 461 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (2 papers), Cell Adhesion Molecules Research (2 papers) and Blood properties and coagulation (1 paper). The work is most often cited by research in Immunology and Allergy (79 citations), Immunology (98 citations) and Cell Biology (72 citations). Schmid-Schönbein Gw has collaborated with scholars based in United States. Frequent co-authors include Yen‐Yu Ian Shih, Haruka Murakami, Fumitaka Ikomi, Jorge Barroso-Aranda, BW Zweifach, Richard Skalak and Shu Chien. Their work appears in journals such as Blood, Physiology and PubMed.
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.