Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Bioprospecting for Microbial Endophytes and Their Natural Products
Countries citing papers authored by Gary A. Strobel
Since
Specialization
Citations
This map shows the geographic impact of Gary A. Strobel'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 Gary A. Strobel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary A. Strobel more than expected).
This network shows the impact of papers produced by Gary A. Strobel. 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 Gary A. Strobel. The network helps show where Gary A. Strobel may publish in the future.
Co-authorship network of co-authors of Gary A. Strobel
This figure shows the co-authorship network connecting the top 25 collaborators of Gary A. Strobel.
A scholar is included among the top collaborators of Gary A. Strobel 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 Gary A. Strobel. Gary A. Strobel is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Strobel, Gary A.. (2014). Microbe mining: The rewards of looking for endophytes in all the tough places.. Natural history. 122(2). 24–30.9 indexed citations
3.
Strobel, Gary A., et al.. (2014). VOC profile of endophytic fungi is altered by nature of lignocellulosic biomass feedstock. Montana State University ScholarWorks (Montana State University).1 indexed citations
Manoch, Leka, et al.. (2011). Coniochaeta ligniaria an endophytic fungus from Baeckea frutescens and its antagonistic effects against plant pathogenic fungi.. Thai Journal of Agricultural Science. 44(2). 123–131.8 indexed citations
6.
Banerjee, Debdulal, et al.. (2010). An endophytic Myrothecium inundatum producing volatile organic compounds. Montana State University ScholarWorks (Montana State University).27 indexed citations
7.
Kharwar, Ravindra Nath, Vijay Verma, Gary A. Strobel, & David Ezra. (2008). The endophytic fungal complex of Catharanthus roseus (L.) G. Don. Current Science. 95(2). 228–233.83 indexed citations
8.
Jacobsen, Barry J., et al.. (2004). Mycofumigation with Muscoder albus for control of soil-borne microorganisms. 27(1). 103–113.1 indexed citations
Worapong, J., et al.. (2001). Muscodor albus anam. gen. et sp. Nov., an endophyte from cinnamomum zeylanicum.. Mycotaxon. 79. 67–79.91 indexed citations
Strobel, Gary A., et al.. (1999). NATURAL PRODUCTS ORGANIC CHEMISTRY : Screening of Taxol - producing Endophytic Fungi from Ginkgo biloba and Taxus cuspidata in Korea. 42(2). 97–99.15 indexed citations
16.
Bashyal, Bishnu Maya, et al.. (1999). Seimatoantlerium nepalense, an endophytic taxol producing coelomycete from Himalayan yew (Taxus wallachiana). Mycotaxon. 72. 33–42.31 indexed citations
Stierle, Andrea A., Donald B. Stierle, Gary A. Strobel, Gary S. Bignami, & Paul G. Grothaus. (1995). Bioactive metabolites of the endophytic fungi of Pacific yew, Taxus brevifolia: paclitaxel, taxanes, and other bioactive compounds. 81–97.9 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.