Danielle Press

621 citations
6 papers · 400 · h-index 6

Impact in

Papers in

    • Pharmacological Receptor Mechanisms and Effects 2
    • Receptor Mechanisms and Signaling 2
    • Ion channel regulation and function 1
    • Neuropeptides and Animal Physiology 2
    • Neuroscience and Neuropharmacology Research 1

Danielle Press

6 papers receiving 389 citations

Peers

Danielle Press
Comparison fields: 5 of 49
  • Nephrology 153
  • Cellular and Molecular Neuroscience 121
  • Developmental Neuroscience 8
  • Molecular Biology 122
  • Psychiatry and Mental health 23
Replace Philip L. De Jager with:
Philip L. De Jager United States
Anja Rahn Germany
Bayardo I. Garay United States
Martin E. Johansson Netherlands
Ann Stepanchick United States
Anna Sułek Poland
Susen Schaake Germany
Lama Al‐Qusairi United States
Xin You Tai United Kingdom
Danielle Press relative to Philip L. De Jager United States Philip L. De Jager's profile →
Citations per field
00.5×3.8×
Philip L. De Jager · 1×
Citations per year

Countries citing papers authored by Danielle Press

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Press

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2013153
2 2004126
3 200744
4 201428
5 200627
6 201122

About Danielle Press

Danielle Press is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Nephrology, Surgery and Genetics, having authored 6 papers that have together received 400 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuropeptides and Animal Physiology (2 papers), Parathyroid Disorders and Treatments (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Ion channel regulation and function (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Adrenal and Paraganglionic Tumors (1 paper). The work is most often cited by research in Nephrology (153 citations), Cellular and Molecular Neuroscience (121 citations), Developmental Neuroscience (8 citations), Molecular Biology (122 citations) and Psychiatry and Mental health (23 citations). Danielle Press has collaborated with scholars based in United States. Frequent co-authors include Thomas N. Ferraro, Wade H. Berrettini, Russell J. Buono, Rosebel Monteiro, Jamie Mitchell, Allan Siperstein, Eren Berber, Judy Jin, Joyce Shin and Rosemarie Metzger. Their work appears in journals such as Surgery, Gene and Mammalian Genome.

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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