Agim Ballvora

4.6k total citations
71 papers, 3.1k citations indexed

About

Agim Ballvora is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Agim Ballvora has authored 71 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 11 papers in Agronomy and Crop Science and 10 papers in Genetics. Recurrent topics in Agim Ballvora's work include Wheat and Barley Genetics and Pathology (24 papers), Plant Disease Resistance and Genetics (17 papers) and Plant Pathogens and Resistance (17 papers). Agim Ballvora is often cited by papers focused on Wheat and Barley Genetics and Pathology (24 papers), Plant Disease Resistance and Genetics (17 papers) and Plant Pathogens and Resistance (17 papers). Agim Ballvora collaborates with scholars based in Germany, United States and Bangladesh. Agim Ballvora's co-authors include Christiane Gebhardt, Francesco Salamini, Jens Léon, Dario Leister, Khalid Meksem, Benedict C. Oyiga, R. C. Sharma, Francis C. Ogbonnaya, Michaël Baum and Maria Raffaella Ercolano and has published in prestigious journals such as Nature Genetics, PLoS ONE and Scientific Reports.

In The Last Decade

Agim Ballvora

68 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agim Ballvora Germany 26 2.8k 440 318 273 246 71 3.1k
Francesco Cellini Italy 24 1.8k 0.7× 1.0k 2.3× 171 0.5× 371 1.4× 191 0.8× 60 2.5k
Sarah Jane Cookson France 26 2.2k 0.8× 620 1.4× 190 0.6× 96 0.4× 145 0.6× 56 2.4k
G. M. Arnold United Kingdom 24 1.2k 0.4× 428 1.0× 291 0.9× 263 1.0× 143 0.6× 54 1.8k
Márcio F. R. Resende United States 27 2.1k 0.7× 784 1.8× 200 0.6× 1.5k 5.4× 296 1.2× 89 3.4k
Patricio Muńoz United States 29 1.8k 0.7× 428 1.0× 144 0.5× 1.3k 4.8× 201 0.8× 115 2.9k
Christian Cilas France 33 1.7k 0.6× 340 0.8× 613 1.9× 124 0.5× 256 1.0× 170 3.0k
A. M. Stanca Italy 32 3.4k 1.2× 926 2.1× 276 0.9× 586 2.1× 104 0.4× 95 4.1k
Vincent Segura France 22 1.9k 0.7× 794 1.8× 111 0.3× 1.1k 4.2× 148 0.6× 54 2.7k
L.A.P. Lotz Netherlands 27 2.0k 0.7× 438 1.0× 171 0.5× 82 0.3× 159 0.6× 97 2.4k
Malia Gehan United States 16 1.3k 0.5× 366 0.8× 71 0.2× 242 0.9× 393 1.6× 29 1.6k

Countries citing papers authored by Agim Ballvora

Since Specialization
Citations

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

Fields of papers citing papers by Agim Ballvora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agim Ballvora

This figure shows the co-authorship network connecting the top 25 collaborators of Agim Ballvora. A scholar is included among the top collaborators of Agim Ballvora 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 Agim Ballvora. Agim Ballvora 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.
Ballvora, Agim, Juliane Bendig, Anne‐Katrin Mahlein, et al.. (2025). UAV-based multispectral image analysis revealed stay-green haplotypes in wheat specific for different soil nitrogen levels. BMC Plant Biology. 25(1). 1405–1405. 1 indexed citations
2.
Siddiqui, Md. Nurealam, et al.. (2025). Natural genetic variation in nodal root growth angle and anatomy underlies drought tolerance in bread wheat. Environmental and Experimental Botany. 237. 106220–106220.
3.
4.
Siddiqui, Md. Nurealam, Mohammad Kamruzzaman, Miguel Sanchez‐Garcia, et al.. (2024). Genetic control of root architectural traits under drought stress in spring barley ( Hordeum vulgare L.). The Plant Genome. 17(2). e20463–e20463. 4 indexed citations
5.
Siddiqui, Md. Nurealam, et al.. (2023). Genome‐wide dissection and haplotype analysis identified candidate loci for nitrogen use efficiency under drought conditions in winter wheat. The Plant Genome. 17(1). e20394–e20394. 9 indexed citations
6.
Siddiqui, Md. Nurealam, Kailash C. Pandey, Michael Schneider, et al.. (2023). Convergently selected NPF2.12 coordinates root growth and nitrogen use efficiency in wheat and barley. New Phytologist. 238(5). 2175–2193. 12 indexed citations
7.
8.
Rose, Till, Benjamin Wittkop, Andreas Stahl, et al.. (2023). Stage-specific genotype-by-environment interactions determine yield components in wheat. Nature Plants. 9(10). 1688–1696. 13 indexed citations
9.
Ballvora, Agim, et al.. (2023). Local and Bayesian Survival FDR Estimations to Identify Reliable Associations in Whole Genome of Bread Wheat. International Journal of Molecular Sciences. 24(18). 14011–14011.
10.
Léon, Jens, et al.. (2023). Intergenerational and transgenerational effects of drought stress on winter wheat (Triticum aestivum L.). Physiologia Plantarum. 175(4). e13951–e13951. 9 indexed citations
11.
Siddiqui, Md. Nurealam, et al.. (2023). Genetic dissection of root architectural plasticity and identification of candidate loci in response to drought stress in bread wheat. BMC Genomic Data. 24(1). 38–38. 5 indexed citations
12.
13.
Siddiqui, Md. Nurealam, et al.. (2021). New drought‐adaptive loci underlying candidate genes on wheat chromosome 4B with improved photosynthesis and yield responses. Physiologia Plantarum. 173(4). 2166–2180. 14 indexed citations
14.
Sannemann, Wiebke, et al.. (2019). Effect of epistasis and environment on flowering time in barley reveals a novel flowering-delaying QTL allele. Journal of Experimental Botany. 71(3). 893–906. 14 indexed citations
15.
Ballvora, Agim, et al.. (2019). Novel organ-specific genetic factors for quantitative resistance to late blight in potato. PLoS ONE. 14(7). e0213818–e0213818. 18 indexed citations
16.
Mathew, Boby, et al.. (2017). Major Novel QTL for Resistance to Cassava Bacterial Blight Identified through a Multi-Environmental Analysis. Frontiers in Plant Science. 8. 1169–1169. 18 indexed citations
17.
Pinto, Francisco, Alexander Damm, Anke Schickling, et al.. (2016). Sun‐induced chlorophyll fluorescence from high‐resolution imaging spectroscopy data to quantify spatio‐temporal patterns of photosynthetic function in crop canopies. Plant Cell & Environment. 39(7). 1500–1512. 95 indexed citations
18.
López‐Lavalle, Luís Augusto Becerra, Boby Mathew, Jens Léon, et al.. (2015). A genetic map of cassava (Manihot esculenta Crantz) with integrated physical mapping of immunity-related genes. BMC Genomics. 16(1). 190–190. 48 indexed citations
19.
Rickert, Andreas, et al.. (2005). Quantitative genotyping of single‐nucleotide polymorphisms by allele‐specific oligonucleotide hybridization on DNA microarrays. Biotechnology and Applied Biochemistry. 42(1). 93–96. 7 indexed citations
20.
Schornack, Sebastián, Agim Ballvora, Doreen Gürlebeck, et al.. (2003). The tomato resistance protein Bs4 is a predicted non‐nuclear TIR‐NB‐LRR protein that mediates defense responses to severely truncated derivatives of AvrBs4 and overexpressed AvrBs3. The Plant Journal. 37(1). 46–60. 163 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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