Nina Schmid

470 total citations · 1 hit paper
15 papers, 321 citations indexed

About

Nina Schmid is a scholar working on Reproductive Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nina Schmid has authored 15 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Reproductive Medicine, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nina Schmid's work include Sperm and Testicular Function (8 papers), Hormonal and reproductive studies (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Nina Schmid is often cited by papers focused on Sperm and Testicular Function (8 papers), Hormonal and reproductive studies (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Nina Schmid collaborates with scholars based in Germany, Finland and United States. Nina Schmid's co-authors include Artur Mayerhofer, Julia Schwarzer, Rüdiger Behr, Thomas Fröhlich, Georg J. Arnold, Florian Flenkenthaler, James M. Hotaling, Kenneth I. Aston, Jan‐Bernd Stukenborg and Jingtao Guo and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Developmental Cell.

In The Last Decade

Nina Schmid

15 papers receiving 318 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.

Single-cell analysis of human testis aging and correlation with elevated body mass index

2022 105 citations Xichen Nie, Sarah K. Munyoki et al. Developmental Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nina Schmid Germany	9	141	116	57	56	51	15	321
Siim Sõber Estonia	11	120 0.9×	238 2.1×	51 0.9×	32 0.6×	94 1.8×	13	495
Steffi Becker Germany	12	102 0.7×	110 0.9×	42 0.7×	27 0.5×	106 2.1×	24	413
Ke Xue China	6	93 0.7×	91 0.8×	30 0.5×	20 0.4×	21 0.4×	7	317
Cristina D’Alessandris Italy	6	96 0.7×	187 1.6×	49 0.9×	80 1.4×	43 0.8×	7	411
A Shirane Japan	10	180 1.3×	79 0.7×	78 1.4×	31 0.6×	32 0.6×	22	408
Qiyang Shen China	12	67 0.5×	140 1.2×	13 0.2×	79 1.4×	34 0.7×	24	305
Nastaran Foyouzi United States	13	183 1.3×	74 0.6×	120 2.1×	41 0.7×	67 1.3×	18	481
Tito T. Jesus Portugal	11	162 1.1×	132 1.1×	15 0.3×	24 0.4×	49 1.0×	16	353
Cong Sui China	12	100 0.7×	142 1.2×	124 2.2×	18 0.3×	49 1.0×	28	400
Daniela Vejražková Czechia	13	53 0.4×	97 0.8×	22 0.4×	62 1.1×	80 1.6×	36	400

Countries citing papers authored by Nina Schmid

Since Specialization

Citations

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

Fields of papers citing papers by Nina Schmid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Schmid

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

All Works

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15 of 15 papers shown

Nie, Xichen, Sarah K. Munyoki, Meena Sukhwani, et al.. (2022). Single-cell analysis of human testis aging and correlation with elevated body mass index. Developmental Cell. 57(9). 1160–1176.e5. 105 indexed citations breakdown →

Schmid, Nina, Rüdiger Behr, Frank‐Michael Köhn, et al.. (2022). Profound Effects of Dexamethasone on the Immunological State, Synthesis and Secretion Capacity of Human Testicular Peritubular Cells. Cells. 11(19). 3164–3164. 7 indexed citations

Schmid, Nina, et al.. (2022). The Molecular Signature of Human Testicular Peritubular Cells Revealed by Single-Cell Analysis. Cells. 11(22). 3685–3685. 8 indexed citations

Schmid, Nina, Annette Müller‐Taubenberger, Gregory A. Dissen, et al.. (2022). Evidence of a role for cAMP in mitochondrial regulation in ovarian granulosa cells. Molecular Human Reproduction. 28(10). 6 indexed citations

Schmid, Nina, Ignasi Forné, Alexander Burges, et al.. (2021). Sirtuin 1 and Sirtuin 3 in Granulosa Cell Tumors. International Journal of Molecular Sciences. 22(4). 2047–2047. 7 indexed citations

Rantakari, Pia, Heidi Gerke, Nina Schmid, et al.. (2021). Exploring the Ion Channel TRPV2 and Testicular Macrophages in Mouse Testis. International Journal of Molecular Sciences. 22(9). 4727–4727. 8 indexed citations

Schmid, Nina, Florian Flenkenthaler, Charis Drummer, et al.. (2021). Age-Related Alterations in the Testicular Proteome of a Non-Human Primate. Cells. 10(6). 1306–1306. 11 indexed citations

Schmid, Nina, Stoyan Petkov, Florian Flenkenthaler, et al.. (2020). A translational cellular model for the study of peritubular cells of the testis. Reproduction. 160(2). 259–268. 9 indexed citations

Schmid, Nina, Florian Flenkenthaler, Charis Drummer, et al.. (2020). Proteomic Insights into Senescence of Testicular Peritubular Cells from a Nonhuman Primate Model. Cells. 9(11). 2498–2498. 8 indexed citations

10.

Schmid, Nina, Florian Flenkenthaler, Frank M. Köhn, et al.. (2019). Insights into replicative senescence of human testicular peritubular cells. Scientific Reports. 9(1). 15052–15052. 36 indexed citations

11.

Schmid, Nina, Julia Schwarzer, Henryk F. Urbanski, et al.. (2018). NLRP3 in somatic non-immune cells of rodent and primate testes. Reproduction. 156(3). 231–238. 33 indexed citations

12.

Schmid, Nina, Florian Flenkenthaler, Julia Schwarzer, et al.. (2018). Characterization of a non-human primate model for the study of testicular peritubular cells—comparison with human testicular peritubular cells. Molecular Human Reproduction. 24(8). 401–410. 12 indexed citations

13.

Mayer, Christine, M. Adam, Nina Schmid, et al.. (2018). Insights into the role of androgen receptor in human testicular peritubular cells. Andrology. 6(5). 756–765. 20 indexed citations

14.

Mueller, Thomas, Benjamin Dieplinger, Alfons Gegenhuber, et al.. (2004). Serum total 8-iso-prostaglandin F2α: A new and independent predictor of peripheral arterial disease. Journal of Vascular Surgery. 40(4). 768–773. 35 indexed citations

15.

Eitelberger, Franz, et al.. (1995). Bilateral testicular large-cell calcifying Sertoli cell tumor and recurrent cardiac myxoma in a patient with Carney’s complex. Pediatric Radiology. 25(S1). S236–S237. 16 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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