Daniel Lang

15.0k citations
54 papers · 2.5k indexed · h-index 30

Impact in

Papers in

    • Plant Molecular Biology Research 21
    • Plant nutrient uptake and metabolism 9
    • Chromosomal and Genetic Variations 8
    • Plant Stress Responses and Tolerance 6

Daniel Lang

53 papers receiving 2.5k citations

Peers

Daniel Lang
Comparison fields: 5 of 88
  • Plant Science 1.8k
  • Ecology, Evolution, Behavior and Systematics 487
  • Molecular Biology 1.5k
  • Gastroenterology 62
  • Biotechnology 95
Replace Patrick Gallois with:
Patrick Gallois United Kingdom
Erwin Heberle‐Bors Austria
Prem L. Bhalla Australia
Erik Richly Germany
Karsten Liere Germany
Oliver Drechsel Germany
Kristi R. Harkins United States
Megumi Iwano Japan
Moshe Feldman Israel
Tsuyoshi Hosoya Japan
Daniel Lang relative to Patrick Gallois United Kingdom Patrick Gallois's profile →
Citations per field
00.5×8.9×
Patrick Gallois · 1×
Citations per year

Countries citing papers authored by Daniel Lang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Lang Line = papers co-authored together Daniel Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013140
2 2007136
3 2015127
4 2010118
5 2008115
6 2016111
7 2009106
8 2018105
9 200295
10 200794
11 200989
12 200886
13 201085
14 200576
15 201674
16 200769
17 201465
18 201764
19 201460
20 201359

About Daniel Lang

Daniel Lang is a scholar working on Plant Science, Parasitology, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Biotechnology, having authored 54 papers that have together received 2.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (21 papers), Photosynthetic Processes and Mechanisms (12 papers), Genomics and Phylogenetic Studies (10 papers), Plant nutrient uptake and metabolism (9 papers), Chromosomal and Genetic Variations (8 papers), Plant Reproductive Biology (6 papers), Bryophyte Studies and Records (6 papers) and Plant Stress Responses and Tolerance (6 papers). The work is most often cited by research in Plant Science (1.8k citations), Ecology, Evolution, Behavior and Systematics (487 citations), Molecular Biology (1.5k citations), Gastroenterology (62 citations) and Biotechnology (95 citations). Daniel Lang has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ralf Reski, Stefan A. Rensing, Andreas Zimmer, Wolfgang Frank, Sandra Richardt, Yves Van de Peer, Annette Hohe, Luiz Gustavo Guedes Corrêa, Tomoaki Nishiyama and Gerrit Timmerhaus. Their work appears in journals such as Plant Biology, The Plant Journal, Nucleic Acids Research, PLANT PHYSIOLOGY and Communications Biology.

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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