M. Hubmann

640 citations
27 papers · 488 · h-index 12

Impact in

Papers in

M. Hubmann

23 papers receiving 466 citations

Peers

M. Hubmann
Comparison fields: 5 of 88
  • Hematology 228
  • Anesthesiology and Pain Medicine 37
  • Genetics 42
  • Developmental Neuroscience 13
  • Public Health, Environmental and Occupational Health 82
Replace Yasuhiro Kuroda with:
Yasuhiro Kuroda Japan
William H. Clewell United States
Y. Takemoto Japan
Alison M. Graham United States
David C. Wallace Australia
Yuko Honda Japan
Meghan Ramsey United States
Caleb A. Class United States
Wagner Hn United States
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Citations per field
00.5×7.5×
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 201475
2 201068
3 199767
4 201452
5 201434
6 200233
7 197931
8
Low polarization pacing lead for detecting the ventricular-evoked response.
199325
9 201516
10 201015
11 198914
12 197811
13 197910
14 20179
15 20217
16 20245
17 19895
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 488 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), Cardiac pacing and defibrillation studies (3 papers), Muscle activation and electromyography studies (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Metal and Thin Film Mechanics (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Hematology (228 citations), Anesthesiology and Pain Medicine (37 citations), Genetics (42 citations), Developmental Neuroscience (13 citations) and Public Health, Environmental and Occupational Health (82 citations). M. Hubmann has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include K. W. Jacobi, Götz Geldner, Ralph Knöll, M. Schaldach, Roland Hardt, Bernhard Wörmann, Karsten Spiekermann, Thomas Köhnke, Jan Braess and Marion Subklewe. Their work appears in journals such as Leukemia, Bone Marrow Transplantation, Journal of Glaciology, Haematologica and The European Physical Journal B.

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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