Danielle N. Gross

10 total papers · 1.4k total citations
8 papers, 1.1k citations indexed

About

Danielle N. Gross is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Danielle N. Gross has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Physiology. Recurrent topics in Danielle N. Gross's work include Pancreatic function and diabetes (4 papers), Adipose Tissue and Metabolism (4 papers) and Metabolism, Diabetes, and Cancer (2 papers). Danielle N. Gross is often cited by papers focused on Pancreatic function and diabetes (4 papers), Adipose Tissue and Metabolism (4 papers) and Metabolism, Diabetes, and Cancer (2 papers). Danielle N. Gross collaborates with scholars based in United States. Danielle N. Gross's co-authors include Morris J. Birnbaum, A. Pieter J. van den Heuvel, Min Wan, Paul F. Pilch, Bob Monks, Inge Eichstetter, David J. McQuillan, Rachael Easton, Renato V. Iozzo and Sarah M. Choi and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.

In The Last Decade

Danielle N. Gross

8 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danielle N. Gross 731 315 242 159 157 8 1.1k
Nadine Cybulski 1.1k 1.5× 312 1.0× 150 0.6× 158 1.0× 212 1.4× 7 1.4k
Danielle Murashige 879 1.2× 505 1.6× 152 0.6× 117 0.7× 120 0.8× 7 1.5k
Jose M. Orozco 960 1.3× 162 0.5× 264 1.1× 109 0.7× 211 1.3× 8 1.3k
Rebecca Quinn 780 1.1× 550 1.7× 99 0.4× 237 1.5× 207 1.3× 8 1.2k
Annika Mehlem 600 0.8× 330 1.0× 121 0.5× 151 0.9× 286 1.8× 8 1.3k
Tatiana L. Steiler 637 0.9× 463 1.5× 110 0.5× 264 1.7× 156 1.0× 10 1.1k
Sheng-Cai Lin 853 1.2× 147 0.5× 195 0.8× 235 1.5× 410 2.6× 12 1.2k
Dara E. Leto 923 1.3× 353 1.1× 409 1.7× 268 1.7× 217 1.4× 13 1.4k
George Talbott 789 1.1× 193 0.6× 186 0.8× 144 0.9× 192 1.2× 17 1.1k
Yang Liu 584 0.8× 240 0.8× 287 1.2× 165 1.0× 575 3.7× 22 1.3k

Countries citing papers authored by Danielle N. Gross

Since Specialization
Citations

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

Fields of papers citing papers by Danielle N. Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle N. Gross

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle N. Gross. A scholar is included among the top collaborators of Danielle N. Gross based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle N. Gross. Danielle N. Gross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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