Nina Opitz

544 total citations
8 papers, 361 citations indexed

About

Nina Opitz is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Nina Opitz has authored 8 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Nina Opitz's work include Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (5 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Nina Opitz is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (5 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Nina Opitz collaborates with scholars based in Germany, United States and Canada. Nina Opitz's co-authors include Frank Hochholdinger, Caroline Marcon, Anja Paschold, Andrew Lithio, Dan Nettleton, Hans‐Peter Piepho, Waqas Ahmed Malik, Christa Lanz, Huanhuan Tai and Xin Lü and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Experimental Botany and BMC Genomics.

In The Last Decade

Nina Opitz

8 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nina Opitz Germany	8	328	122	81	32	10	8	361
Jianshuang Qi China	9	318 1.0×	116 1.0×	97 1.2×	47 1.5×	8 0.8×	18	348
Shulei Guo China	9	365 1.1×	103 0.8×	133 1.6×	53 1.7×	5 0.5×	17	383
Amy Watson New Zealand	8	287 0.9×	99 0.8×	59 0.7×	31 1.0×	6 0.6×	12	309
Ruth Heinz Argentina	6	356 1.1×	125 1.0×	27 0.3×	27 0.8×	14 1.4×	6	380
Daizhen Sun China	15	396 1.2×	59 0.5×	157 1.9×	74 2.3×	6 0.6×	39	433
Odile Jaminon France	6	370 1.1×	87 0.7×	116 1.4×	62 1.9×	7 0.7×	7	393
Huili Wen China	5	309 0.9×	105 0.9×	31 0.4×	15 0.5×	6 0.6×	6	329
Xiao Min Bie China	8	295 0.9×	224 1.8×	48 0.6×	29 0.9×	3 0.3×	8	359
Manfei Li China	9	501 1.5×	211 1.7×	256 3.2×	53 1.7×	7 0.7×	17	542
Jiangtao Luo China	12	367 1.1×	95 0.8×	88 1.1×	29 0.9×	5 0.5×	38	391

Countries citing papers authored by Nina Opitz

Since Specialization

Citations

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

Fields of papers citing papers by Nina Opitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Opitz

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

All Works

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8 of 8 papers shown

1.

Marcon, Caroline, Jack M. Gardiner, John L. Portwood, et al.. (2020). BonnMu: A Sequence-Indexed Resource of Transposon-Induced Maize Mutations for Functional Genomics Studies. PLANT PHYSIOLOGY. 184(2). 620–631. 29 indexed citations

2.

Hey, Stefan, Jutta A. Baldauf, Nina Opitz, et al.. (2017). Complexity and specificity of the maize (Zea mays L.) root hair transcriptome. Journal of Experimental Botany. 68(9). 2175–2185. 18 indexed citations

3.

Marcon, Caroline, Anja Paschold, Waqas Ahmed Malik, et al.. (2016). Stability of Single-Parent Gene Expression Complementation in Maize Hybrids upon Water Deficit Stress. PLANT PHYSIOLOGY. 173(2). 1247–1257. 30 indexed citations

4.

Tai, Huanhuan, Nina Opitz, Andrew Lithio, et al.. (2016). Non-syntenic genes drive RTCS-dependent regulation of the embryo transcriptome during formation of seminal root primordia in maize (Zea maysL.). Journal of Experimental Botany. 68(3). erw422–erw422. 9 indexed citations

5.

Opitz, Nina, Caroline Marcon, Anja Paschold, et al.. (2015). Extensive tissue-specific transcriptomic plasticity in maize primary roots upon water deficit. Journal of Experimental Botany. 67(4). 1095–1107. 72 indexed citations

6.

Tai, Huanhuan, Xin Lü, Nina Opitz, et al.. (2015). Transcriptomic and anatomical complexity of primary, seminal, and crown roots highlight root type-specific functional diversity in maize (Zea maysL.). Journal of Experimental Botany. 67(4). 1123–1135. 66 indexed citations

7.

Zhang, Yanxiang, Anja Paschold, Caroline Marcon, et al.. (2014). The Aux/IAA gene rum1 involved in seminal and lateral root formation controls vascular patterning in maize (Zea mays L.) primary roots. Journal of Experimental Botany. 65(17). 4919–4930. 65 indexed citations

8.

Opitz, Nina, Anja Paschold, Caroline Marcon, et al.. (2014). Transcriptomic complexity in young maize primary roots in response to low water potentials. BMC Genomics. 15(1). 741–741. 72 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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