Nina Schmidt

996 total citations
24 papers, 404 citations indexed

About

Nina Schmidt is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Nina Schmidt has authored 24 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Surgery. Recurrent topics in Nina Schmidt's work include Lipoproteins and Cardiovascular Health (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Chemical Synthesis and Analysis (2 papers). Nina Schmidt is often cited by papers focused on Lipoproteins and Cardiovascular Health (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Chemical Synthesis and Analysis (2 papers). Nina Schmidt collaborates with scholars based in Germany, Austria and United States. Nina Schmidt's co-authors include Gunnar Huep, Niclas Nordholt, Karel Kostev, Martin Sagasser, Bernd Weißhaar, Ingo Appelhagen, Peyman Hadji, Ioannis Kyvernitakis, Volker Ziller and Michael Bauer and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Nina Schmidt

20 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Schmidt Germany 10 151 63 62 51 50 24 404
Jamilet Miranda Cuba 9 221 1.5× 39 0.6× 19 0.3× 53 1.0× 46 0.9× 18 461
Karen A. Veverka United States 12 241 1.6× 15 0.2× 22 0.4× 78 1.5× 36 0.7× 35 610
Madhumita Dandapani United Kingdom 9 204 1.4× 63 1.0× 61 1.0× 35 0.7× 79 1.6× 22 358
Nairita Roy United States 10 207 1.4× 21 0.3× 81 1.3× 42 0.8× 46 0.9× 14 423
Laura Massa Italy 12 152 1.0× 15 0.2× 290 4.7× 33 0.6× 18 0.4× 29 459
Huiyan Niu China 15 333 2.2× 32 0.5× 19 0.3× 95 1.9× 93 1.9× 26 505
Ignacio Norambuena‐Soto Chile 11 247 1.6× 10 0.2× 42 0.7× 23 0.5× 45 0.9× 20 504
Suzanne E. Patton United States 14 148 1.0× 105 1.7× 43 0.7× 66 1.3× 62 1.2× 19 448

Countries citing papers authored by Nina Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Nina Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Schmidt

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

All Works

20 of 20 papers shown
1.
Schmidt, Nina, Amit Kumar, Frank Abendroth, et al.. (2024). Development of mirror-image monobodies targeting the oncogenic BCR::ABL1 kinase. Nature Communications. 15(1). 10724–10724. 3 indexed citations
2.
Poleti, Mirele, E. C. Mattos, Nina Schmidt, et al.. (2024). Dietary Energy Sources Affect Cecal and Fecal Microbiota of Healthy Horses. Animals. 14(23). 3494–3494.
3.
Schmidt, Nina, Frank Abendroth, Olalla Vázquez, & Oliver Hantschel. (2022). Synthesis of the l - and d -SH2 domain of the leukaemia oncogene Bcr-Abl. RSC Chemical Biology. 3(8). 1008–1012. 5 indexed citations
4.
5.
Schmidt, Nina, Grith Møller, Lene Bæksgaard, et al.. (2020). Fish oil supplementation in cancer patients. Capsules or nutritional drink supplements? A controlled study of compliance. Clinical Nutrition ESPEN. 35. 63–68. 20 indexed citations
6.
7.
Knösel, Thomas, Svenja Nölting, Gerald Spöttl, et al.. (2018). Tropomyosin receptor kinase: a novel target in screened neuroendocrine tumors. Endocrine Related Cancer. 25(5). 547–560. 6 indexed citations
8.
Schmidt, Nina, Alexander Dressel, Tanja B. Grammer, et al.. (2018). Lipid-modifying therapy and low-density lipoprotein cholesterol goal attainment in patients with familial hypercholesterolemia in Germany: The CaReHigh Registry. Atherosclerosis. 277. 314–322. 19 indexed citations
9.
Kaufholdt, David, Nina Schmidt, Mikiko Kojima, et al.. (2018). Apoplastic peroxidases enable an additional sulphite detoxification strategy and act as first line of defence upon exposure to sulphur containing gas. Environmental and Experimental Botany. 157. 140–150. 7 indexed citations
10.
Schmidt, Nina, Burkhard Schmidt, Alexander Dressel, et al.. (2017). Familial hypercholesterolemia in primary care in Germany. Diabetes and cardiovascular risk evaluation: Targets and Essential Data for Commitment of Treatment (DETECT) study. Atherosclerosis. 266. 24–30. 17 indexed citations
11.
Schmidt, Nina, Tanja B. Grammer, Ioanna Gouni‐Berthold, et al.. (2017). CaRe high – Cascade screening and registry for high cholesterol in Germany. Atherosclerosis Supplements. 30. 72–76. 8 indexed citations
12.
Cepparulo, Mario & Nina Schmidt. (2017). Treatment of metastatic breast cancer in EU: Analysis of market research data from 4Q2013 till 3Q2014. The Breast. 32. 256–265. 2 indexed citations
13.
Schmidt, Nina, Vanda Lux, Christian Johannes, et al.. (2016). Epigenetic silencing of serine protease HTRA1 drives polyploidy. BMC Cancer. 16(1). 399–399. 21 indexed citations
14.
Appelhagen, Ingo, Niclas Nordholt, Nina Schmidt, et al.. (2014). Update on transparent testa mutants from Arabidopsis thaliana: characterisation of new alleles from an isogenic collection. Planta. 240(5). 955–970. 100 indexed citations
15.
Schmidt, Nina, Karel Kostev, Volker Ziller, Bernd Kowall, & Wolfgang Rathmann. (2014). Association of diabetes and cancer-diagnoses in primary care practices in Germany.. Journal of Clinical Oncology. 32(15_suppl). 1604–1604.
16.
Schmidt, Nina, et al.. (2014). Treatment persistence evaluation of tamoxifen and aromatase inhibitors in breast cancer patients in early and late stage disease. International Journal of Clinical Pharmacology and Therapeutics. 52(11). 933–939. 9 indexed citations
17.
Hadji, Peyman, Volker Ziller, Ioannis Kyvernitakis, et al.. (2013). Persistence in patients with breast cancer treated with tamoxifen or aromatase inhibitors: a retrospective database analysis. Breast Cancer Research and Treatment. 138(1). 185–191. 73 indexed citations
18.
Hadji, Peyman, Volker Ziller, Ioannis Kyvernitakis, Nina Schmidt, & Karel Kostev. (2013). Persistence with bisphosphonates in patients with metastatic breast cancer: a retrospective database analysis. Journal of Cancer Research and Clinical Oncology. 139(7). 1149–1155. 9 indexed citations
19.
Tennstaedt, Annette, Linda Truebestein, Patrick Hauske, et al.. (2012). Human High Temperature Requirement Serine Protease A1 (HTRA1) Degrades Tau Protein Aggregates. Journal of Biological Chemistry. 287(25). 20931–20941. 73 indexed citations
20.
Backe, Bjørn, et al.. (2005). Desentralisert og differensiert fødselshjelp – et paradigmeskifte. Tidsskrift for Den Norske Laegeforening. 1 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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