I. Haarmann

918 citations
16 papers · 741 · h-index 12

Impact in

Papers in

I. Haarmann

16 papers receiving 711 citations

Peers

I. Haarmann
Comparison fields: 5 of 59
  • Behavioral Neuroscience 185
  • Cellular and Molecular Neuroscience 537
  • Endocrine and Autonomic Systems 124
  • Physiology 267
  • Reproductive Medicine 71
Replace T. Bartfai with:
T. Bartfai Sweden
Hsiu‐Ying T. Yang United States
Rachel M.C. Parker Australia
I Merchenthaler Hungary
Naoto Minamitani Japan
M. Aronsson Sweden
Maryann A. Romagnano United States
NICKI WHITE United Kingdom
M. Jung France
Olga Tjurmina United States
I. Haarmann relative to T. Bartfai Sweden T. Bartfai's profile →
Citations per field
00.5×1.5×2.5×
T. Bartfai · 1×
Citations per year

Countries citing papers authored by I. Haarmann

Since Specialization
Citations

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

Fields of papers citing papers by I. Haarmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside I. Haarmann, 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 I. Haarmann Line = papers co-authored together I. Haarmann links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1980126
2 198799
3 198186
4 198673
5 198272
6 197962
7 198661
8 198448
9 198835
10 198232
11 198016
12 198214
13 19857
14 19986
15
Long-term treatment of rats with morphine decreases in vitro biosynthesis in and release of beta-endorphin from intermediate/posterior lobes of pituitary.
19802
16
Identification of opiate/receptor binding in vivo.
19762

About I. Haarmann

I. Haarmann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Social Psychology, having authored 16 papers that have together received 741 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Regulation of Appetite and Obesity (3 papers), Adipose Tissue and Metabolism (3 papers), Stress Responses and Cortisol (3 papers), Neuroendocrine regulation and behavior (3 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Behavioral Neuroscience (185 citations), Cellular and Molecular Neuroscience (537 citations), Endocrine and Autonomic Systems (124 citations), Physiology (267 citations) and Reproductive Medicine (71 citations). I. Haarmann has collaborated with scholars based in Germany and United States. Frequent co-authors include A. Herz, V. Höllt, Volker Höllt, Bernd R. Seizinger, Albert Herz, M Jerlicz, Ryszard Przewłocki, M J Millan, Brian Morris and Bernhard Kempter. Their work appears in journals such as Neuroendocrinology, Neuropeptides, Endocrinology, Brain Research and Life 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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