David C. Graves

15 papers receiving 698 citations

Peers

David C. Graves
Comparison fields: 5 of 105
  • Rheumatology 186
  • Ophthalmology 80
  • Immunology and Allergy 34
  • Endocrinology, Diabetes and Metabolism 91
  • Biotechnology 40
Replace Shinya Kida with:
Shinya Kida Japan
Martin Chovanec Czechia
Jason Gibson United States
Maila Penttinen Finland
Heidrun Holland Germany
Abdelmonem Ghorbel Tunisia
Shigeaki Hori Japan
Kwame Anyane‐Yeboa United States
M. T. Giordana Italy
Larry L.-T. Ho Taiwan
David C. Graves relative to Shinya Kida Japan Shinya Kida's profile →
Citations per field
00.5×7.3×
Shinya Kida · 1×
Citations per year

Countries citing papers authored by David C. Graves

Since Specialization
Citations

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

Fields of papers citing papers by David C. Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Graves. 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 David C. Graves. The network helps show where David C. Graves may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2003178
2 2003164
3 1985135
4
Retinal pigment epithelial cells secrete interleukin-6 in response to interleukin-1.
199299
5 199948
6 200043
7 198917
8
Hemispheric contributions to pragmatics.
200013
9 20037
10 20105
11 19974
12 20023
13 19942
14 20022
15 20161

About David C. Graves

David C. Graves is a scholar working on Cognitive Neuroscience, Molecular Biology, Rheumatology, Philosophy and Cell Biology, having authored 15 papers that have together received 721 indexed citations. Recurring topics across this work include Bone and Dental Protein Studies (3 papers), Cancer Research and Treatments (2 papers), Neurobiology of Language and Bilingualism (2 papers), Aesthetic Perception and Analysis (2 papers), Art History and Market Analysis (2 papers), Connective tissue disorders research (1 paper), Linguistics and Discourse Analysis (1 paper) and Art, Politics, and Modernism (1 paper). The work is most often cited by research in Rheumatology (186 citations), Ophthalmology (80 citations), Immunology and Allergy (34 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Biotechnology (40 citations). David C. Graves has collaborated with scholars based in United States, Israel and Finland. Frequent co-authors include E. Helene Sage, Amy D. Bradshaw, Kouros Motamed, Gail Workman, Rolf A. Brekken, Pauli Puolakkainen, Sharon R. Lubkin, Samuel J. Casella, Steven Jacobs and Zipora Yablonka‐Reuveni. Their work appears in journals such as Journal of Clinical Investigation, Brain and Language, International Journal for Philosophy of Religion, Journal of Histochemistry & Cytochemistry and The Monist.

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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