R. K. Gumber

486 total citations
11 papers, 178 citations indexed

About

R. K. Gumber is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, R. K. Gumber has authored 11 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 2 papers in Molecular Biology and 2 papers in Agronomy and Crop Science. Recurrent topics in R. K. Gumber's work include Genetics and Plant Breeding (6 papers), Agricultural pest management studies (5 papers) and Genetic and Environmental Crop Studies (5 papers). R. K. Gumber is often cited by papers focused on Genetics and Plant Breeding (6 papers), Agricultural pest management studies (5 papers) and Genetic and Environmental Crop Studies (5 papers). R. K. Gumber collaborates with scholars based in Germany, Netherlands and India. R. K. Gumber's co-authors include Albrecht E. Melchinger, L. Kuntze, Thomas Lübberstedt, Egon Fuchs, Wolfgang Link, Britta Schulz, D. Klein, Marnik Vuylsteke, Volker Hahn and Jan Degener and has published in prestigious journals such as Theoretical and Applied Genetics, Plant Breeding and Crop improvement.

In The Last Decade

R. K. Gumber

11 papers receiving 158 citations

Peers

R. K. Gumber

PS

GENET

MB

ACS

EEBS

Sayan Das United States

Alejandro Beltr n Ortega United States

Ruijuan Tan United States

Jeffrey L. Bennetzen United States

D. Menancio-Hautea United States

Desiree M. Hautea Philippines

Junjie Hao China

Harry Belcram France

Liyun Jiang China

C. M. Dußle Germany

Sayan Das United States

R. K. Gumber

145 ×0.8

PS

51 ×0.8

GENET

40 ×1.5

MB

30 ×2.0

ACS

7 ×0.7

EEBS

Citations per year, relative to R. K. Gumber R. K. Gumber (= 1×) peers Sayan Das

Countries citing papers authored by R. K. Gumber

Since Specialization

Citations

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

Fields of papers citing papers by R. K. Gumber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. K. Gumber. 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 R. K. Gumber. The network helps show where R. K. Gumber may publish in the future.

Co-authorship network of co-authors of R. K. Gumber

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

All Works

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11 of 11 papers shown

1.

Singh, Kulvir, et al.. (2011). Performance of cotton genotypes under different planting dates in south western Punjab.. Journal of Cotton Research and Development. 25(2). 210–213. 2 indexed citations

2.

Gumber, R. K., et al.. (2003). GENETIC PARAMETERS FOR DIFFERENT LEAF AND SEED TRAITS IN CHICKPEA. 26(1). 36–38. 1 indexed citations

3.

Gumber, R. K., et al.. (2000). Genetic estimates of advanced mungbean lines derived through different selection methods.. Crop improvement. 27(1). 88–98. 2 indexed citations

4.

Gumber, R. K., et al.. (1999). Mean, genetic variance, and usefulness of selfing progenies from intra- and inter-pool crosses in faba beans (Vicia faba L.) and their prediction from parental parameters. Theoretical and Applied Genetics. 98(3-4). 569–580. 13 indexed citations

5.

Melchinger, Albrecht E., et al.. (1998). Prediction of testcross means and variances among F3 progenies of F1 crosses from testcross means and genetic distances of their parents in maize. Theoretical and Applied Genetics. 96(3-4). 503–512. 25 indexed citations

6.

Gumber, R. K., et al.. (1998). Genetic variation in testcrosses of European maize inbreds for resistance to the European corn borer and relations to line per se performance. Plant Breeding. 117(4). 319–327. 12 indexed citations

7.

Melchinger, Albrecht E., et al.. (1998). Comparison of intra‐ and inter‐pool crosses in faba beans (Vicia faba L.). II. Genetic effects estimated from generation means in Mediterranean and German environments. Plant Breeding. 117(4). 351–359. 10 indexed citations

8.

Degener, Jan, Albrecht E. Melchinger, R. K. Gumber, & Volker Hahn. (1998). Breeding for Sclerotinia resistance in sunflower: A modified screening test and assessment of genetic variation in current germplasm. Plant Breeding. 117(4). 367–372. 20 indexed citations

9.

Melchinger, Albrecht E., L. Kuntze, R. K. Gumber, Thomas Lübberstedt, & Egon Fuchs. (1998). Genetic basis of resistance to sugarcane mosaic virus in European maize germplasm. Theoretical and Applied Genetics. 96(8). 1151–1161. 60 indexed citations

10.

Schulz, Britta, et al.. (1997). Genetic variation among European maize inbreds for resistance to the European corn borer and relation to agronomic traits. Plant Breeding. 116(5). 415–422. 21 indexed citations

11.

Link, Wolfgang, et al.. (1997). Detection and characterization of two new CMS systems in faba bean (Vicia faba) *. Plant Breeding. 116(2). 158–162. 12 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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