This map shows the geographic impact of J. Sauerborn'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 J. Sauerborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Sauerborn more than expected).
This network shows the impact of papers produced by J. Sauerborn. 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 J. Sauerborn. The network helps show where J. Sauerborn may publish in the future.
Co-authorship network of co-authors of J. Sauerborn
This figure shows the co-authorship network connecting the top 25 collaborators of J. Sauerborn.
A scholar is included among the top collaborators of J. Sauerborn 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 J. Sauerborn. J. Sauerborn is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Grenz, Jan, et al.. (2013). Morphological and physiological response of Abaca (Musa textilis var. Laylay) to shade, irrigation and fertilizer application at different stages of plant growth.. International journal of agriscience.. 3(2). 157–175.6 indexed citations
4.
Cotter, Marc, Jan Grenz, & J. Sauerborn. (2012). Biodiversity evaluation in tropical agricultural systems - How will rubber cultivation and land use change effect species diversity in SW China. EGUGA. 7435.2 indexed citations
Buschmann, Holger, et al.. (2005). Susceptibility of oilseed rape (Brassica napus ssp. napus) to branched broomrape (Orobanche ramosa L.).. Zeitschrift für Pflanzenkrankheiten und Pflanzenschutz. 112(1). 65–70.3 indexed citations
7.
Manschadi, Ahmad M., M. J. Robertson, Holger Meinke, et al.. (2003). Development of a parasite module in APSIM - case study: the parasitic weed Orobanche crenata infesting faba bean.. 0–4.3 indexed citations
Kroschel, Jürgen, et al.. (1999). Advances in parasitic weed control at on-farm level. Vol 1: Joint action to control Striga in Africa..15 indexed citations
11.
Pohl, Daniel, et al.. (1998). Effects of some environmental factors on weed species in cotton fields in Çukurova, Turkey.. 1(1). 24–32.1 indexed citations
12.
Manschadi, Ahmad M., Jürgen Kroschel, & J. Sauerborn. (1996). Dry matter production and partitioning in the host-parasite association Vicia faba-Orobanche crenata.. 70. 224–229.25 indexed citations
13.
Oswald, A., et al.. (1996). Studies on the potential for improved fallow using trees and shrubs to reduce Striga infestations in Kenya.10 indexed citations
Koch, W., et al.. (1993). Effect of temperature, light, and simulated drought on the germination of some weed species from the Sudan. 67. 52–55.5 indexed citations
16.
Saxena, M. C., et al.. (1991). Effect of soil solarization on the yield of food legumes and on pest control.. 139–154.12 indexed citations
Sauerborn, J., et al.. (1990). Control of faba bean nematodes by soil solarization in Syria.. Arab Journal Of Plant Protection. 8(1). 38–40.2 indexed citations
19.
Sauerborn, J., et al.. (1988). On the influence of light, temperature, depth of burial and water stress on the germination of selected weed species.. Zeitschrift für Pflanzenkrankheiten und Pflanzenschutz. 47–53.3 indexed citations
20.
Sauerborn, J., et al.. (1987). A rapid test to screen lentil under laboratory conditions for susceptibility to Orobanche. 14. 15–16.12 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.