Inga Kadish

4.5k citations
69 papers · 3.8k · h-index 34

Impact in

Papers in

Inga Kadish

69 papers receiving 3.7k citations

Peers

Inga Kadish
Comparison fields: 5 of 122
  • Developmental Neuroscience 327
  • Neurology 620
  • Biological Psychiatry 173
  • Cellular and Molecular Neuroscience 1.2k
  • Physiology 1.4k
Replace Ling‐Qiang Zhu with:
Ling‐Qiang Zhu China
Warren D. Hirst United States
Olivier Thibault United States
Satyabrata Kar Canada
Xiaoning Bi United States
Nada M. Porter United States
Ratan V. Bhat United States
Marcello D’Amelio Italy
Alena Savonenko United States
Michel Boulouard France
Inga Kadish relative to Ling‐Qiang Zhu China Ling‐Qiang Zhu's profile →
Citations per field
00.5×1.5×
Ling‐Qiang Zhu · 1×
Citations per year

Countries citing papers authored by Inga Kadish

Since Specialization
Citations

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

Fields of papers citing papers by Inga Kadish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003263
2 2002256
3 2005207
4 2007192
5 2008155
6 2009138
7 2012132
8 2007123
9 2008115
10 2009112
11 2002112
12 2010103
13 199999
14 200592
15 200692
16 200285
17 200477
18 201370
19 201169
20 201367

About Inga Kadish

Inga Kadish is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Neurology, having authored 69 papers that have together received 3.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (31 papers), Neuroscience and Neuropharmacology Research (20 papers), Memory and Neural Mechanisms (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Amino Acid Enzymes and Metabolism (6 papers), Regulation of Appetite and Obesity (5 papers) and Stress Responses and Cortisol (5 papers). The work is most often cited by research in Developmental Neuroscience (327 citations), Neurology (620 citations), Biological Psychiatry (173 citations), Cellular and Molecular Neuroscience (1.2k citations) and Physiology (1.4k citations). Inga Kadish has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Thomas van Groen, J. Michael Wyss, Eric M. Blalock, Nada M. Porter, Philip W. Landfield, Pasi Miettinen, Olivier Thibault, Kuey-Chu Chen, Dieter Willbold and Heikki Tanila. Their work appears in journals such as Journal of Neuroscience, Journal of Alzheimer s Disease, Neurobiology of Disease, Neurobiology of Aging and Behavioural Brain Research.

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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