Michael Heming

47 papers receiving 1.4k citations

Michael Heming's Hit Papers

Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis 2020 · 276 citations
2760+2+4Years since publication50100150200250

Peers

Michael Heming
Comparison fields: 5 of 120
  • Neurology 306
  • Biological Psychiatry 50
  • Developmental Neuroscience 76
  • Immunology 352
  • Neurology 213
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Janet Morgan United States
Edoardo Micotti Italy
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Toshihiko Maeda Japan
A. Giovannelli Italy
Matthew J. O’Connor United States
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Hirotoshi Sano Japan
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Citations per year

Countries citing papers authored by Michael Heming

Since Specialization
Citations

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

Fields of papers citing papers by Michael Heming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis
Hit paper breakdown →
2020276
2 2020128
3 2021126
4 2018121
5 202099
6 202268
7 198144
8 202438
9 199637
10 198637
11 198530
12 202230
13 198630
14 201928
15 198925
16 201925
17 198424
18 202123
19 198723
20 202222

About Michael Heming

Michael Heming is a scholar working on Materials Chemistry, Neurology, Immunology, Electrical and Electronic Engineering and Molecular Biology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Electron Spin Resonance Studies (6 papers), Solid-state spectroscopy and crystallography (6 papers), Single-cell and spatial transcriptomics (5 papers), Multiple Sclerosis Research Studies (5 papers), Muon and positron interactions and applications (4 papers), Advanced NMR Techniques and Applications (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Neurology (306 citations), Biological Psychiatry (50 citations), Developmental Neuroscience (76 citations), Immunology (352 citations) and Neurology (213 citations). Michael Heming has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Heinz Wiendl, Gerd Meyer zu Hörste, G. Lehmann, Jolien Wolbert, Sven G. Meuth, David Schafflick, Andreas Schulte‐Mecklenbeck, Xiaolin Li, Catharina C. Groß and Emil Roduner. Their work appears in journals such as Proceedings of the National Academy of Sciences, physica status solidi (b), Journal of Neuroinflammation, Frontiers in Immunology and Journal of Neuroimmunology.

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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