Lore Gruenbaum

609 citations
18 papers · 428 · h-index 13

Impact in

Papers in

Lore Gruenbaum

18 papers receiving 425 citations

Peers

Lore Gruenbaum
Comparison fields: 5 of 97
  • Hepatology 124
  • Cellular and Molecular Neuroscience 78
  • Epidemiology 142
  • Immunology 63
  • Infectious Diseases 38
Replace Ji Cao with:
Ji Cao China
Nishi Sharma United States
Rosslyn Grosely United States
Dharmeshkumar Patel United States
C S Flordellis United States
Héctor Tejero Spain
Colin Wickenden United Kingdom
Maarten Leyssen Belgium
Fumiko Shinkai‐Ouchi Japan
Hagen Blankenburg Germany
Lore Gruenbaum relative to Ji Cao China Ji Cao's profile →
Citations per field
00.5×3.4×
Ji Cao · 1×
Citations per year

Countries citing papers authored by Lore Gruenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Lore Gruenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201362
2 200560
3 201239
4 201239
5 201536
6 201033
7 202132
8 200827
9 199924
10 201413
11 200312
12 201512
13 200312
14 20229
15 20238
16 20228
17 20191
18 20191

About Lore Gruenbaum

Lore Gruenbaum is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Immunology and Hepatology, having authored 18 papers that have together received 428 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (3 papers), Immune Cell Function and Interaction (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Computational Drug Discovery Methods (2 papers), T-cell and B-cell Immunology (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Hepatology (124 citations), Cellular and Molecular Neuroscience (78 citations), Epidemiology (142 citations), Immunology (63 citations) and Infectious Diseases (38 citations). Lore Gruenbaum has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Thomas Carew, Hans Bitter, Marina R. Picciotto, Diana M. Gilligan, Daniel J. Chin, Yukiko Asaka, Luanne L. Peters, Nii Addy, Reiko Maki Fitzsimonds and Barbara J. Caldarone. Their work appears in journals such as Journal of Neuroscience, CPT Pharmacometrics & Systems Pharmacology, Cancer Research, Alzheimer s & Dementia and Journal of Hepatology.

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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