Johan Häggblad

5.5k citations
37 papers · 4.6k indexed · 1 hit paper · h-index 17

Impact in

Papers in

Johan Häggblad

36 papers receiving 4.5k citations

Hit Papers

Comparison of the Ligand Binding Specificity and Transcript Tissue Distribution of Estrogen Receptors α and β 1997 · 3.8k citations
3.8k199720262006201610002.0k3.0k

Peers

Johan Häggblad
Comparison fields: 5 of 111
  • Genetics 2.8k
  • Endocrinology, Diabetes and Metabolism 1000
  • Reproductive Medicine 459
  • Behavioral Neuroscience 179
  • Pathology and Forensic Medicine 847
Replace Mahnaz Razandi with:
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Johan Häggblad relative to Mahnaz Razandi United States Mahnaz Razandi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Johan Häggblad

Since Specialization
Citations

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

Fields of papers citing papers by Johan Häggblad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2005129
2 199916
3 199811
4
Comparison of the Ligand Binding Specificity and Transcript Tissue Distribution of Estrogen Receptors α and β
Hit paper breakdown →
19973762
5 19971
6 19962
7 199580
8 199518
9 19956
10 199524
11
Scintillating microtitration plates as platform for determination of [3H]estradiol binding constants for hER-HBD.
199511
12 199427
13 199426
14 199111
15 199020
16 19909
17 19870
18 198710
19 198711
20 198513

About Johan Häggblad

Johan Häggblad is a scholar working on Cellular and Molecular Neuroscience, Genetics, Developmental Neuroscience, Physiology and Molecular Biology, having authored 37 papers that have together received 4.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (15 papers), Estrogen and related hormone effects (7 papers), Venomous Animal Envenomation and Studies (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (5 papers), Muscle Physiology and Disorders (4 papers), Insect and Pesticide Research (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Genetics (2.8k citations), Endocrinology, Diabetes and Metabolism (1000 citations), Reproductive Medicine (459 citations), Behavioral Neuroscience (179 citations) and Pathology and Forensic Medicine (847 citations). Johan Häggblad has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Bo Carlsson, Stefan Nilsson, Eva Enmark, Kaj Grandien, Jan-Ακε Gustafsson, George G. J. M. Kuiper, Edith Heilbronn, Bertil B. Fredholm, Olof Zachrisson and Patrik Brundin. Their work appears in journals such as Biochemical and Biophysical Research Communications, Toxicon, Neuroscience, Journal of Cardiovascular Pharmacology and Annals of the New York 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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