Eva Altmann

1.6k citations
39 papers · 1.1k indexed · 1 hit paper · h-index 18

Eva Altmann

37 papers receiving 1.0k citations

Hit Papers

The Most Common Functional Groups in Bioactive Molecules ...265202020262022202450100150200250

Peers

Eva Altmann
Comparison fields: 5 of 95
  • Organic Chemistry 494
  • Molecular Biology 691
  • Pharmaceutical Science 56
  • Cancer Research 95
  • Computational Theory and Mathematics 85
Replace Claudio Mapelli with:
Claudio Mapelli United States
Matthew W. D. Perry Sweden
Mark E. Schnute United States
Jefferson Tilley United States
John W. Ellingboe United States
Wolfgang von der Saal Germany
James B. Doherty United States
Mark L. Behnke United States
Ariamala Gopalsamy United States
Marko Marjanović Croatia
Eva Altmann relative to Claudio Mapelli United States Claudio Mapelli's profile →
Citations per field
00.5×2.9×
Claudio Mapelli · 1×
Citations per year

Countries citing papers authored by Eva Altmann

Since Specialization
Citations

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

Fields of papers citing papers by Eva Altmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202319
4 20234
5 2016125
6 201415
7 20109
8 200619
9 20031
10 200316
11 200211
12 200143
13 200134
14 200040
15 19939
16 19938
17 19885
18 198830
19 19854
20
Westdeutschland unter den Gesetzen der Reproduktion des kapitals und die Arbeiterklasse
19600

About Eva Altmann

Eva Altmann is a scholar working on Organic Chemistry, Molecular Biology and Cancer Research, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (11 papers), Protease and Inhibitor Mechanisms (6 papers), Bone Metabolism and Diseases (6 papers), Ubiquitin and proteasome pathways (5 papers), RNA and protein synthesis mechanisms (5 papers), Click Chemistry and Applications (5 papers), Synthesis and biological activity (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). The work is most often cited by research in Organic Chemistry (494 citations), Molecular Biology (691 citations) and Pharmaceutical Science (56 citations). Eva Altmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Peter Ertl, Jeffrey M. McKenna, Martin Missbach, Manfred Mutter, Jonathan A. Green, Karl‐Heinz Altmann, Leo Widler, Mira Šuša, Sandra W. Cowan‐Jacob and Sophie Racine. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Helvetica Chimica Acta, European Journal of Medicinal Chemistry and Journal of the American Chemical Society.

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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