Henning Ulrich

12.3k citations
299 papers · 7.8k indexed · 1 hit paper · h-index 46

Impact in

Papers in

Henning Ulrich

294 papers receiving 7.7k citations

Hit Papers

From purines to purinergic signalling: molecular functions and human diseases 2021 · 287 citations
287202120262022202450100150200250

Peers

Henning Ulrich
Comparison fields: 5 of 154
  • Physiology 1.7k
  • Biological Psychiatry 444
  • Developmental Neuroscience 567
  • Neurology 656
  • Genetics 680
Replace Beverly H. Koller with:
Beverly H. Koller United States
Luca Battistini Italy
Zhenyu Yue United States
Ágnes Kittel Hungary
Trent M. Woodruff Australia
Yongmei Chen China
Hermann J. Schluesener Germany
Norman J. Haughey United States
Zheng‐Hong Qin China
Edward H. Schuchman United States
Henning Ulrich relative to Beverly H. Koller United States Beverly H. Koller's profile →
Citations per field
00.5×2.5×
Beverly H. Koller · 1×
Citations per year

Countries citing papers authored by Henning Ulrich

Since Specialization
Citations

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

Fields of papers citing papers by Henning Ulrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20246
4 20238
5 20231
6 20234
7 202224
8 20229
9 202223
10 202214
11 20211
12 202120
13 202071
14 202010
15 202025
16 201834
17 201719
18 20148
19 201454
20 201215

About Henning Ulrich

Henning Ulrich is a scholar working on Physiology, Developmental Neuroscience, Biological Psychiatry, Cellular and Molecular Neuroscience and Genetics, having authored 299 papers that have together received 7.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (82 papers), Advanced biosensing and bioanalysis techniques (29 papers), Neurogenesis and neuroplasticity mechanisms (29 papers), Neuroscience and Neuropharmacology Research (27 papers), Genetics and Neurodevelopmental Disorders (24 papers), Receptor Mechanisms and Signaling (22 papers), RNA Interference and Gene Delivery (21 papers) and Nicotinic Acetylcholine Receptors Study (19 papers). The work is most often cited by research in Physiology (1.7k citations), Biological Psychiatry (444 citations), Developmental Neuroscience (567 citations), Neurology (656 citations) and Genetics (680 citations). Henning Ulrich has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Micheli Mainardi Pillat, Talita Glaser, Rodrigo R. Resende, Claudiana Lameu, Péter Illés, Attila Tárnok, Ágatha Oliveira‐Giacomelli, Cleber A. Trujillo, Arthur A. Nery and Geoffrey Burnstock. Their work appears in journals such as Cytometry Part A, PLoS ONE, Molecular Neurobiology, Journal of Biological Chemistry 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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