Daniel Schwarzott

2.8k total citations · 1 hit paper
6 papers, 1.9k citations indexed

About

Daniel Schwarzott is a scholar working on Plant Science, Cell Biology and Pharmacology. According to data from OpenAlex, Daniel Schwarzott has authored 6 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Cell Biology and 3 papers in Pharmacology. Recurrent topics in Daniel Schwarzott's work include Mycorrhizal Fungi and Plant Interactions (5 papers), Plant Pathogens and Fungal Diseases (4 papers) and Fungal Biology and Applications (3 papers). Daniel Schwarzott is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (5 papers), Plant Pathogens and Fungal Diseases (4 papers) and Fungal Biology and Applications (3 papers). Daniel Schwarzott collaborates with scholars based in Germany, United Kingdom and Panama. Daniel Schwarzott's co-authors include Christopher Walker, Arthur Schüßler, Chris Walker, Hans Gehrig, Manfred Kluge, Harald Marx and Janusz Błaszkowski and has published in prestigious journals such as Plant Science, Molecular Phylogenetics and Evolution and Mycorrhiza.

In The Last Decade

Daniel Schwarzott

6 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

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.

A new fungal phylum, the Glomeromycota: phylogeny and evolution

2001 1.4k citations Daniel Schwarzott, Christopher Walker et al. Mycological Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Schwarzott Germany	6	1.8k	608	581	437	379	6	1.9k
Herbert Stockinger Germany	8	1.8k 1.0×	559 0.9×	607 1.0×	569 1.3×	316 0.8×	8	1.9k
Gladstone Alves da Silva Brazil	22	1.6k 0.9×	475 0.8×	838 1.4×	509 1.2×	319 0.8×	96	1.7k
Manuela Krüger Czechia	12	1.3k 0.7×	408 0.7×	452 0.8×	441 1.0×	254 0.7×	22	1.5k
Zuzana Sýkorová Czechia	15	1.2k 0.6×	336 0.6×	458 0.8×	475 1.1×	248 0.7×	24	1.3k
Bradley R. Kropp United States	23	1.3k 0.7×	298 0.5×	533 0.9×	460 1.1×	365 1.0×	65	1.5k
Joan Pera Spain	27	1.3k 0.7×	398 0.7×	448 0.8×	564 1.3×	222 0.6×	66	1.5k
Javier Parladé Spain	26	1.2k 0.7×	373 0.6×	431 0.7×	582 1.3×	245 0.6×	64	1.4k
Ahn-Heum Eom South Korea	16	1.1k 0.6×	312 0.5×	354 0.6×	400 0.9×	284 0.7×	100	1.3k
Andrew P. Coughlan Canada	10	1.7k 0.9×	366 0.6×	240 0.4×	291 0.7×	277 0.7×	11	1.8k
Jean‐Claude Debaud France	21	1.1k 0.6×	408 0.7×	279 0.5×	435 1.0×	199 0.5×	35	1.3k

Countries citing papers authored by Daniel Schwarzott

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Schwarzott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schwarzott

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Walker, Christopher, Janusz Błaszkowski, Daniel Schwarzott, & Arthur Schüßler. (2004). Gerdemannia gen. nov., a genus separated from Glomus, and Gerdemanniaceae fam. nov., a new family in the Glomeromycota. Mycological Research. 108(6). 707–718. 26 indexed citations

2.

Schwarzott, Daniel, Chris Walker, & Arthur Schüßler. (2001). Glomus, the Largest Genus of the Arbuscular Mycorrhizal Fungi (Glomales), Is Nonmonophyletic. Molecular Phylogenetics and Evolution. 21(2). 190–197. 209 indexed citations

3.

Marx, Harald, et al.. (2001). Molecular phylogeny of the genus Kalanchoe (Crassulaceae) inferred from nucleotide sequences of the ITS-1 and ITS-2 regions. Plant Science. 160(5). 827–835. 62 indexed citations

4.

Schwarzott, Daniel & Arthur Schüßler. (2001). A simple and reliable method for SSU rRNA gene DNA extraction, amplification, and cloning from single AM fungal spores. Mycorrhiza. 10(4). 203–207. 132 indexed citations

5.

Gehrig, Hans, et al.. (2001). Analysis of partial Glomales SSU rRNA gene sequences: implications for primer design and phylogeny. Mycological Research. 105(1). 5–15. 115 indexed citations

6.

Schwarzott, Daniel, et al.. (2001). A new fungal phylum, the Glomeromycota: phylogeny and evolution. Mycological Research. 105(12). 1413–1421. 1388 indexed citations breakdown →

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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