Yang Mao‐Draayer

4.1k citations
85 papers · 2.1k indexed · h-index 26

Yang Mao‐Draayer

79 papers receiving 2.1k citations

Peers

Yang Mao‐Draayer
Comparison fields: 5 of 114
  • Pathology and Forensic Medicine 890
  • Biological Psychiatry 88
  • Developmental Neuroscience 121
  • Neurology 241
  • Immunology 547
Replace Ulf Schulze‐Topphoff with:
Ulf Schulze‐Topphoff United States
Calliope A. Dendrou United Kingdom
Yuji Nakatsuji Japan
Bernadette Kálmán United States
Maja Jagodic Sweden
Catherine Larochelle Canada
Arnon Karni Israel
Michel Varrin‐Doyer United States
José C. Álvarez‐Cermeño Spain
Timour Prozorovski Germany
Yang Mao‐Draayer relative to Ulf Schulze‐Topphoff United States Ulf Schulze‐Topphoff's profile →
Citations per field
00.5×3.9×
Ulf Schulze‐Topphoff · 1×
Citations per year

Countries citing papers authored by Yang Mao‐Draayer

Since Specialization
Citations

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

Fields of papers citing papers by Yang Mao‐Draayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Mao‐Draayer. 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 Yang Mao‐Draayer. The network helps show where Yang Mao‐Draayer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20246
5 20242
6 20241
7 202434
8 20241
9 20230
10 202212
11 20221
12 202134
13 202126
14 202064
15 2019138
16 201815
17 201023
18 200924
19 200825
20 20031

About Yang Mao‐Draayer

Yang Mao‐Draayer is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience and Immunology, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (44 papers), Immunotherapy and Immune Responses (12 papers), Peripheral Neuropathies and Disorders (10 papers), Polyomavirus and related diseases (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Immune Cell Function and Interaction (7 papers) and Sphingolipid Metabolism and Signaling (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (890 citations), Biological Psychiatry (88 citations) and Developmental Neuroscience (121 citations). Yang Mao‐Draayer has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Elizabeth Mills, Qi Wu, Qin Wang, Steven K. Lundy, Catherine Dowling, Ali Mirza, Guangmei Mao, Jennifer Yang, Jeongho Park and Chang H. Kim. Their work appears in journals such as Neurology, Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, Neurology Neuroimmunology & Neuroinflammation and International Journal of Molecular Sciences.

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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