Manuela Jörg

930 citations
36 papers · 667 indexed · h-index 15

Manuela Jörg

31 papers receiving 654 citations

Peers

Manuela Jörg
Comparison fields: 5 of 87
  • Physiology 202
  • Cellular and Molecular Neuroscience 245
  • Molecular Biology 523
  • Organic Chemistry 121
  • Computational Theory and Mathematics 66
Replace Meryem Köse with:
Meryem Köse Germany
Stephanie Federico Italy
Giles A. Brown United Kingdom
Patrizia Minetti Italy
Sonja Kachler Germany
José-Ignacio Andrés Belgium
Peter W. R. Caulkett United Kingdom
Marjolein Soethoudt Netherlands
Kellie A. Woll United States
Thomas A. Chappie United States
Manuela Jörg relative to Meryem Köse Germany Meryem Köse's profile →
Citations per field
00.5×2.9×
Meryem Köse · 1×
Citations per year

Countries citing papers authored by Manuela Jörg

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Jörg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20251
5 20250
6 20251
7 20255
8 202428
9 20239
10 20230
11 20224
12 20225
13 20220
14 20218
15 20206
16 20206
17 201915
18 20189
19 201816
20 201614

About Manuela Jörg

Manuela Jörg is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Molecular Medicine and Hematology, having authored 36 papers that have together received 667 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (27 papers), Adenosine and Purinergic Signaling (13 papers), Neuropeptides and Animal Physiology (13 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), Neuroscience and Neuropharmacology Research (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Click Chemistry and Applications (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Physiology (202 citations), Cellular and Molecular Neuroscience (245 citations), Molecular Biology (523 citations), Organic Chemistry (121 citations) and Computational Theory and Mathematics (66 citations). Manuela Jörg has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Peter J. Scammells, Ben Capuano, Arthur Christopoulos, Lauren T. May, Patrick M. Sexton, Thi Nguyen, Elizabeth A. Vecchio, Alisa Glukhova, David M. Thal and Neil D. Miller. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Chemical Neuroscience, British Journal of Pharmacology, European Journal of Medicinal Chemistry and ChemMedChem.

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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