Richard Graeff

4.3k citations
74 papers · 3.5k · h-index 32

Impact in

  • Physiology top 0.02%
    • Calcium signaling and nucleotide metabolism
    • Adenosine and Purinergic Signaling
    • Ion Channels and Receptors

Papers in

    • Calcium signaling and nucleotide metabolism 59
    • Adenosine and Purinergic Signaling 26
    • Ion Channels and Receptors 23

Richard Graeff

74 papers receiving 3.4k citations

Peers

Richard Graeff
Comparison fields: 5 of 107
  • Physiology 2.6k
  • Sensory Systems 1.2k
  • Geriatrics and Gerontology 242
  • Pharmacology 334
  • Biological Psychiatry 46
Replace Luisa Franco with:
Luisa Franco Italy
Robert Aarhus United States
Hideto Yonekura Japan
Katja Rietdorf United Kingdom
Ivana Peluso Italy
Aurélie Chantôme France
Giulio Magni Italy
Olga Safrina United States
Thomas Farkas Denmark
Richard Graeff relative to Luisa Franco Italy Luisa Franco's profile →
Citations per field
00.5×2.8×
Luisa Franco · 1×
Citations per year

Countries citing papers authored by Richard Graeff

Since Specialization
Citations

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

Fields of papers citing papers by Richard Graeff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995342
2 1997335
3 1994224
4 1994195
5 1996153
6 2002153
7 2005140
8 1995109
9 2000105
10 199684
11 199882
12 200676
13 198676
14 199074
15 198869
16 200963
17 199758
18 200855
19 200353
20 200153

About Richard Graeff

Richard Graeff is a scholar working on Physiology, Sensory Systems, Molecular Biology, Oncology and Pharmacology, having authored 74 papers that have together received 3.5k indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (59 papers), Adenosine and Purinergic Signaling (26 papers), Ion Channels and Receptors (23 papers), Piperaceae Chemical and Biological Studies (9 papers), PARP inhibition in cancer therapy (8 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Physiology (2.6k citations), Sensory Systems (1.2k citations), Geriatrics and Gerontology (242 citations), Pharmacology (334 citations) and Biological Psychiatry (46 citations). Richard Graeff has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Hon Cheung Lee, Timothy F. Walseth, Robert Aarhus, Cyrus B. Munshi, Quan Hao, Deborah M. Dickey, Qun Liu, I.A. Kriksunov, H.C. Lee and W. Dale Branton. Their work appears in journals such as Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology, Biochemical Journal, Autoimmunity Reviews and Molecules.

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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