Hilmar Wisplinghoff
About
In The Last Decade
Hilmar Wisplinghoff
95 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Infectious Diseases 4.4k
- Epidemiology 3.6k
- Molecular Medicine 2.3k
- Molecular Biology 1.7k
- Clinical Biochemistry 1.6k
Countries citing papers authored by Hilmar Wisplinghoff
This map shows the geographic impact of Hilmar Wisplinghoff'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 Hilmar Wisplinghoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hilmar Wisplinghoff more than expected).
Fields of papers citing papers by Hilmar Wisplinghoff
This network shows the impact of papers produced by Hilmar Wisplinghoff. 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 Hilmar Wisplinghoff. The network helps show where Hilmar Wisplinghoff may publish in the future.
Co-authorship network of co-authors of Hilmar Wisplinghoff
This figure shows the co-authorship network connecting the top 25 collaborators of Hilmar Wisplinghoff. A scholar is included among the top collaborators of Hilmar Wisplinghoff 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 Hilmar Wisplinghoff. Hilmar Wisplinghoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 22 | |
| 6 | 8 | |
| 7 | 204 | |
| 8 | 31 | |
| 9 | 31 | |
| 10 | Candida reactive T cells for diagnosis of invasive Candida infection | 1 |
| 11 | 69 | |
| 12 | 21 | |
| 13 | 43 | |
| 14 | 62 | |
| 15 | 23 | |
| 16 | 52 | |
| 17 | 116 | |
| 18 | Development of a Multilocus Sequence Typing Scheme for Characterization of Clinical Isolates of Acinetobacter baumannii breakdown → | 530 |
| 19 | Related clones containing SCCmec type IV predominate among clinically significant Staphylococcus epidermidis isolates | 9 |
| 20 | 181 |
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.