M. Hubmann

637 citations
27 papers · 464 · h-index 11

Impact in

Papers in

M. Hubmann

22 papers receiving 450 citations

Peers

M. Hubmann
Comparison fields: 5 of 96
  • Hematology 226
  • Anesthesiology and Pain Medicine 46
  • Developmental Neuroscience 20
  • Genetics 47
  • Public Health, Environmental and Occupational Health 94
Replace Yasuhiro Kuroda with:
Yasuhiro Kuroda Japan
Alison M. Graham United States
Jürgen Graf Germany
Jianru Wang China
Eun Mi Choi South Korea
David C. Wallace Australia
Christopher D. Nguyen United States
Katherine MacRae Dell United States
K. Endo Japan
M. Hubmann relative to Yasuhiro Kuroda Japan Yasuhiro Kuroda's profile →
Citations per field
00.5×7.2×
Yasuhiro Kuroda · 1×
Citations per year

Countries citing papers authored by M. Hubmann

Since Specialization
Citations

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

Fields of papers citing papers by M. Hubmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201472
2 199766
3 201063
4 201450
5 200232
6 201432
7 197931
8
Low polarization pacing lead for detecting the ventricular-evoked response.
199321
9 201516
10 201014
11 198912
12 197910
13 197810
14 20179
15 20217
16 20245
17 19894
18 19783
19 19923
20
[Systolic periods in dependence of age].
19772

About M. Hubmann

M. Hubmann is a scholar working on Hematology, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Pollution and Electrical and Electronic Engineering, having authored 27 papers that have together received 464 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Smart Materials for Construction (4 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Cardiac pacing and defibrillation studies (3 papers), Muscle activation and electromyography studies (3 papers), Acoustic Wave Resonator Technologies (2 papers) and Metal and Thin Film Mechanics (2 papers). The work is most often cited by research in Hematology (226 citations), Anesthesiology and Pain Medicine (46 citations), Developmental Neuroscience (20 citations), Genetics (47 citations) and Public Health, Environmental and Occupational Health (94 citations). M. Hubmann has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Ralph Knöll, K. W. Jacobi, Götz Geldner, Roland Hardt, M. Schaldach, Karsten Spiekermann, Marion Subklewe, Jan Braess, Thomas Köhnke and Eva Hoster. Their work appears in journals such as Leukemia, Haematologica, Bone Marrow Transplantation, The European Physical Journal B and Journal of Glaciology.

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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