Helmut Mack

1.4k citations
23 papers · 1.2k · h-index 16

Impact in

Papers in

Helmut Mack

23 papers receiving 1.2k citations

Peers

Helmut Mack
Comparison fields: 5 of 93
  • Developmental Neuroscience 133
  • Cellular and Molecular Neuroscience 325
  • Process Chemistry and Technology 36
  • Neurology 84
  • Organic Chemistry 299
Replace Elisabetta Barresi with:
Elisabetta Barresi Italy
James I. MacDonald Canada
Mark R. Spaller United States
Mingxing Qian United States
Rajappa S. Kenchappa United States
Peter D. Davis United Kingdom
Deborah G. Culver United States
Leyi Gong United States
María Dolores Pérez‐Carrión Spain
Mario Paglialunga Paradisi Italy
Helmut Mack relative to Elisabetta Barresi Italy Elisabetta Barresi's profile →
Citations per field
00.5×2×4×6.3×
Elisabetta Barresi · 1×
Citations per year

Countries citing papers authored by Helmut Mack

Since Specialization
Citations

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

Fields of papers citing papers by Helmut Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005523
2 2007190
3 199851
4 199946
5 199645
6 197639
7 201135
8 201733
9 201833
10 200630
11 200228
12 198223
13 199522
14 200521
15 199720
16 201918
17 198715
18 200615
19 200312
20 201311

About Helmut Mack

Helmut Mack is a scholar working on Organic Chemistry, Cellular and Molecular Neuroscience, Molecular Biology, Oncology and Cell Biology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (4 papers), Organometallic Complex Synthesis and Catalysis (3 papers), Calpain Protease Function and Regulation (3 papers), Peptidase Inhibition and Analysis (3 papers), Chemical synthesis and pharmacological studies (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (133 citations), Cellular and Molecular Neuroscience (325 citations), Process Chemistry and Technology (36 citations), Neurology (84 citations) and Organic Chemistry (299 citations). Helmut Mack has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Bernhard K. Mueller, Nicole Elisabeth Teusch, Moris S. Eisen, Katrin Schwarz, Reinhold Mueller, Paul Lingor, Mathias Bähr, Wilfried Hornberger, Udo E. W. Lange and Hans Wolfgang Höffken. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Organometallic Chemistry, Tetrahedron Letters and Nature Reviews Drug Discovery.

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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