Daniel C. Solis

24 papers receiving 994 citations

Daniel C. Solis's Hit Papers

Neutralization against BA.2.75.2, BQ.1.1, and XBB from mRNA Bivalent Booster 2022 · 183 citations
1830+1+2Years since publication50100150

Peers

Daniel C. Solis
Comparison fields: 5 of 66
  • Cancer Research 336
  • Endocrinology, Diabetes and Metabolism 321
  • Surgery 566
  • Infectious Diseases 192
  • Cell Biology 115
Replace Elisabete Rios with:
Elisabete Rios Portugal
Sergio Sánchez-Sosa Mexico
Yu Mei United States
Ichiro Takeuchi Japan
Maigan A. Hulme United States
Virginia R. Billson Australia
Madoka Kaneko Furukawa Japan
Marília Germanos de Castro Brazil
Kathleen Pappritz Germany
Sang Chul Lim South Korea
Daniel C. Solis relative to Elisabete Rios Portugal Elisabete Rios's profile →
Citations per field
00.5×2×4×6.2×
Elisabete Rios · 1×
Citations per year

Countries citing papers authored by Daniel C. Solis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Solis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007263
2 2007241
3
Neutralization against BA.2.75.2, BQ.1.1, and XBB from mRNA Bivalent Booster
Hit paper breakdown →
2022183
4 200964
5 200951
6 202037
7 201934
8 201923
9 202223
10 201619
11 202019
12 202217
13 202116
14 20248
15 20176
16 20205
17 20174
18 20193
19 20203
20 20182

About Daniel C. Solis

Daniel C. Solis is a scholar working on Cell Biology, Dermatology, Infectious Diseases, Genetics and Biomaterials, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (10 papers), Adrenal and Paraganglionic Tumors (4 papers), Connective tissue disorders research (3 papers), Dermatological and Skeletal Disorders (3 papers), Silk-based biomaterials and applications (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Cancer Research (336 citations), Endocrinology, Diabetes and Metabolism (321 citations), Surgery (566 citations), Infectious Diseases (192 citations) and Cell Biology (115 citations). Daniel C. Solis has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Karen T. Adams, Jacques W.M. Lenders, Graeme Eisenhofer, Henri J L M Timmers, Karel Pacak, Margarita J. Raygada, Karel Pacák, Clara C. Chen, Alexander Ling and Jorge A. Carrasquillo. Their work appears in journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology, Clinical Genetics, Genome Medicine and ACS ES&T Water.

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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