S. Hoerer

422 citations
8 papers · 319 · h-index 8

Impact in

    • Protein purification and stability
    • Sphingolipid Metabolism and Signaling
    • Viral Infectious Diseases and Gene Expression in Insects
    • Drug Transport and Resistance Mechanisms

Papers in

    • Metabolism, Diabetes, and Cancer 1
    • Protein purification and stability 1
    • Pancreatic function and diabetes 1
    • Cholesterol and Lipid Metabolism 1

S. Hoerer

8 papers receiving 309 citations

Peers

S. Hoerer
Comparison fields: 5 of 64
  • Molecular Biology 212
  • Oncology 80
  • Endocrinology, Diabetes and Metabolism 44
  • Radiology, Nuclear Medicine and Imaging 50
  • Biochemistry 14
Replace Marika Manolopoulou with:
Marika Manolopoulou United States
Zachariah H. Foda United States
Changyou Zhou United States
Wei-Li Liao United States
Laura Caboni Ireland
Liusheng Zhu United States
L. Anders Svensson Denmark
Robert Mintzer United States
Geoffrey T. Struble United States
David Chow United States
S. Hoerer relative to Marika Manolopoulou United States Marika Manolopoulou's profile →
Citations per field
00.5×6.3×
Marika Manolopoulou · 1×
Citations per year

Countries citing papers authored by S. Hoerer

Since Specialization
Citations

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

Fields of papers citing papers by S. Hoerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202190
2 200358
3 201555
4 201735
5 201830
6 201030
7 200611
8 201810

About S. Hoerer

S. Hoerer is a scholar working on Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging, Pharmacology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 319 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Computational Drug Discovery Methods (1 paper), Protein purification and stability (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Molecular Biology (212 citations), Oncology (80 citations), Endocrinology, Diabetes and Metabolism (44 citations), Radiology, Nuclear Medicine and Imaging (50 citations) and Biochemistry (14 citations). S. Hoerer has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Herbert Nar, Armin Heckel, Angela Schmid, Yuan Zhang, Zhixing Chen, Rui Liu, Lei Chen, Chengcheng Guan, Gerald J. Roth and Barbara Enenkel. Their work appears in journals such as Journal of Medicinal Chemistry, Nature, mAbs, Bioorganic & Medicinal Chemistry and International Journal of Biological Macromolecules.

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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