Nina Suda

1.9k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Nina Suda is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Nina Suda has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Nina Suda's work include Pancreatic function and diabetes (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Nina Suda is often cited by papers focused on Pancreatic function and diabetes (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Nina Suda collaborates with scholars based in United States, Australia and Spain. Nina Suda's co-authors include Gérard Karsenty, Vijay K. Yadav, Patricia Ducy, Kenji F. Tanaka, Jay A. Gingrich, René Hen, X. Edward Guo, Günther Schütz, Je-Hwang Ryu and Karl Insogna and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Diabetes.

In The Last Decade

Nina Suda

7 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lrp5 Controls Bone Formation by Inhibiting Serotonin Synthesis in the Duodenum

2008 636 citations Vijay K. Yadav, Je-Hwang Ryu et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nina Suda United States	5	683	305	299	233	232	7	1.4k
Nicola J. Lee Australia	26	548 0.8×	108 0.4×	508 1.7×	239 1.0×	157 0.7×	53	2.0k
Zofia Ostrowska Poland	21	292 0.4×	78 0.3×	284 0.9×	95 0.4×	109 0.5×	124	1.3k
Maarit Lehti Finland	20	472 0.7×	198 0.6×	482 1.6×	82 0.4×	49 0.2×	38	1.2k
Lucie Bourgoin Switzerland	13	417 0.6×	93 0.3×	198 0.7×	33 0.1×	81 0.3×	16	974
B. Serrurier France	22	594 0.9×	213 0.7×	565 1.9×	148 0.6×	26 0.1×	61	1.6k
Elena Bresciani Italy	21	435 0.6×	86 0.3×	433 1.4×	64 0.3×	51 0.2×	46	1.5k
John-Olov Jansson Sweden	14	416 0.6×	49 0.2×	336 1.1×	247 1.1×	104 0.4×	19	1.5k
Antonia Sophocleous United Kingdom	17	400 0.6×	130 0.4×	174 0.6×	56 0.2×	150 0.6×	39	1.1k
Stephanie A. Ross Canada	11	342 0.5×	49 0.2×	159 0.5×	133 0.6×	131 0.6×	19	1.4k
Han Yan China	19	532 0.8×	90 0.3×	118 0.4×	416 1.8×	62 0.3×	45	1.1k

Countries citing papers authored by Nina Suda

Since Specialization

Citations

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

Fields of papers citing papers by Nina Suda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Suda

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Suda. A scholar is included among the top collaborators of Nina Suda 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 Nina Suda. Nina Suda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Suda, Nina, Alberto Bartolomé, Jinsook Son, et al.. (2024). β-cell Jagged1 is sufficient but not necessary for islet Notch activity and insulin secretory defects in obese mice. Molecular Metabolism. 81. 101894–101894. 1 indexed citations

2.

Bartolomé, Alberto, Nina Suda, Junjie Yu, et al.. (2022). Notch-mediated Ephrin signaling disrupts islet architecture and β cell function. JCI Insight. 7(6). 8 indexed citations

3.

Wei, Jianwen, Timothy P. Hanna, Nina Suda, Gérard Karsenty, & Patricia Ducy. (2013). Osteocalcin Promotes β-Cell Proliferation During Development and Adulthood Through Gprc6a. Diabetes. 63(3). 1021–1031. 192 indexed citations

4.

Yadav, Vijay K., Franck Oury, Nina Suda, et al.. (2009). A Serotonin-Dependent Mechanism Explains the Leptin Regulation of Bone Mass, Appetite, and Energy Expenditure. Cell. 138(5). 976–989. 492 indexed citations

5.

Yadav, Vijay K., Je-Hwang Ryu, Nina Suda, et al.. (2009). LDL-Receptor Related Protein Five Controls Bone Formation by Inhibiting Serotonin Synthesis in the Duodenum. Obstetrical & Gynecological Survey. 64(4). 240–242. 2 indexed citations

6.

Yadav, Vijay K., Je-Hwang Ryu, Nina Suda, et al.. (2008). Lrp5 Controls Bone Formation by Inhibiting Serotonin Synthesis in the Duodenum. Cell. 135(5). 825–837. 636 indexed citations breakdown →

7.

Shi, Yu, Vijay K. Yadav, Nina Suda, et al.. (2008). Dissociation of the neuronal regulation of bone mass and energy metabolism by leptin in vivo. Proceedings of the National Academy of Sciences. 105(51). 20529–20533. 93 indexed citations

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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