Iris Lindberg

8.1k citations
176 papers · 7.1k · h-index 48

Impact in

Papers in

Iris Lindberg

173 papers receiving 6.8k citations

Peers

Iris Lindberg
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 2.6k
  • Cancer Research 1.5k
  • Endocrine and Autonomic Systems 413
  • Cell Biology 890
  • Behavioral Neuroscience 74
Replace Robert W. Day with:
Robert W. Day Canada
John W.M. Creemers Belgium
Claude Lazure Canada
Hitoshi Niwa Japan
Takashi Matozaki Japan
Vincenzo Coppola United States
Omar A. Coso Argentina
Roger L. Eddy United States
Shinichi Nakagawa Japan
Frederick S. Esch United States
Iris Lindberg relative to Robert W. Day Canada Robert W. Day's profile →
Citations per field
00.5×1.6×
Robert W. Day · 1×
Citations per year

Countries citing papers authored by Iris Lindberg

Since Specialization
Citations

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

Fields of papers citing papers by Iris Lindberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003302
2 2002294
3 2000180
4 1999162
5 1993146
6 1995144
7 1993140
8 1994134
9 2004133
10 1998131
11 1999126
12 1992119
13 2013117
14 2004107
15 2009102
16 2012102
17 199896
18 199788
19 201687
20 201185

About Iris Lindberg

Iris Lindberg is a scholar working on Cellular and Molecular Neuroscience, Cancer Research, Cell Biology, Oncology and Molecular Biology, having authored 176 papers that have together received 7.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (99 papers), Protease and Inhibitor Mechanisms (49 papers), Cellular transport and secretion (23 papers), Pancreatic function and diabetes (15 papers), Peptidase Inhibition and Analysis (13 papers), Chemical Synthesis and Analysis (10 papers), Alzheimer's disease research and treatments (8 papers) and Protein Structure and Dynamics (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.6k citations), Cancer Research (1.5k citations), Endocrine and Autonomic Systems (413 citations), Cell Biology (890 citations) and Behavioral Neuroscience (74 citations). Iris Lindberg has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Xiaorong Zhu, Yi Zhou, Laurent Muller, Manuel E. Than, Nazarius Saah Lamango, Donald F. Steiner, Wolfram Bode, Stefan Henrich, Jon R. Appel and Richard A. Houghten. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Journal of Neurochemistry, PLoS ONE and Proceedings of the National Academy of Sciences.

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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