Daniel Weilandt

723 total citations · 1 hit paper
13 papers, 160 citations indexed

About

Daniel Weilandt is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Daniel Weilandt has authored 13 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Physiology and 1 paper in Epidemiology. Recurrent topics in Daniel Weilandt's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Gene Regulatory Network Analysis (4 papers) and Protein Structure and Dynamics (2 papers). Daniel Weilandt is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Gene Regulatory Network Analysis (4 papers) and Protein Structure and Dynamics (2 papers). Daniel Weilandt collaborates with scholars based in United States, Switzerland and Denmark. Daniel Weilandt's co-authors include Vassily Hatzimanikatis, Pierre Salvy, Ljubiša Mišković, Michaël Moret, Carolin C. Lechner, Pascal D. Odermatt, Georg E. Fantner, Sandrine Georgeon, Beat Fierz and Andreas Bachmann and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniel Weilandt

9 papers receiving 159 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.

Lactate homeostasis is maintained through regulation of glycolysis and lipolysis

2025 19 citations Won Dong Lee, Daniel Weilandt et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Weilandt United States	7	133	22	11	11	8	13	160
Yisi Li China	4	142 1.1×	14 0.6×	6 0.5×	10 0.9×	13 1.6×	5	173
Bettina Huhse Germany	5	190 1.4×	13 0.6×	5 0.5×	6 0.5×	15 1.9×	8	247
Julia Salzman United States	5	184 1.4×	6 0.3×	5 0.5×	13 1.2×	15 1.9×	6	213
Samuel Swift United Kingdom	4	74 0.6×	18 0.8×	9 0.8×	4 0.4×	5 0.6×	8	156
Chen Ruan China	5	85 0.6×	8 0.4×	9 0.8×	14 1.3×	11 1.4×	10	142
Man S. Kim South Korea	8	69 0.5×	23 1.0×	37 3.4×	5 0.5×	13 1.6×	42	150
Vicente Acuña France	8	160 1.2×	70 3.2×	7 0.6×	8 0.7×	2 0.3×	23	233
Shuyu Hou United States	4	111 0.8×	23 1.0×	9 0.8×	5 0.5×	7 0.9×	5	134
Robert C. Monsen United States	9	280 2.1×	7 0.3×	5 0.5×	6 0.5×	4 0.5×	14	295
Jan Großbach Germany	7	146 1.1×	10 0.5×	3 0.3×	9 0.8×	7 0.9×	8	205

Countries citing papers authored by Daniel Weilandt

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Weilandt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Weilandt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Weilandt. A scholar is included among the top collaborators of Daniel Weilandt 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 Weilandt. Daniel Weilandt 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:

13 of 13 papers shown

1.

Bisht, Karishma, et al.. (2026). Febrile temperature activates the innate immune response by promoting aberrant influenza A virus RNA synthesis. Science Advances. 12(1). eaeb2700–eaeb2700.

2.

Samarah, Laith Z., Chuntian Zheng, Xi Xing, et al.. (2025). Spatial metabolic gradients in the liver and small intestine. Nature. 648(8092). 182–190.

3.

Lee, Won Dong, Daniel Weilandt, Michael R. MacArthur, et al.. (2025). Lactate homeostasis is maintained through regulation of glycolysis and lipolysis. Cell Metabolism. 37(3). 758–771.e8. 19 indexed citations breakdown →

4.

Jankowski, Connor S.R., Laith Z. Samarah, Michael R. MacArthur, et al.. (2025). Aged mice exhibit widespread metabolic changes but preserved major fluxes. Cell Metabolism. 37(11). 2280–2294.e4.

5.

Weilandt, Daniel, Felix C. Keber, Christopher V. Rao, et al.. (2025). Lipid accumulation in nitrogen and phosphorus-limited yeast is caused by less growth-related dilution. Metabolic Engineering. 93. 60–72. 1 indexed citations

6.

Weilandt, Daniel, María Masid, Viktor Hesselberg-Thomsen, et al.. (2025). Kinetic-model-guided engineering of multiple S. cerevisiae strains improves p-coumaric acid production. Metabolic Engineering. 91. 430–441.

7.

Tran, Vinh, Shih‐I Tan, Hao Xu, et al.. (2025). Decompartmentalization of the yeast mitochondrial metabolism to improve chemical production in Issatchenkia orientalis. Nature Communications. 16(1). 7110–7110. 2 indexed citations

8.

Weilandt, Daniel, et al.. (2024). Rational strain design with minimal phenotype perturbation. Nature Communications. 15(1). 723–723. 8 indexed citations

9.

Weilandt, Daniel, et al.. (2023). Optimal enzyme utilization suggests that concentrations and thermodynamics determine binding mechanisms and enzyme saturations. Nature Communications. 14(1). 2618–2618. 18 indexed citations

10.

Weilandt, Daniel, et al.. (2022). Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models. Bioinformatics. 39(1). 9 indexed citations

11.

Moret, Michaël, et al.. (2022). Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks. Nature Machine Intelligence. 4(8). 710–719. 41 indexed citations

12.

Weilandt, Daniel & Vassily Hatzimanikatis. (2019). Particle-Based Simulation Reveals Macromolecular Crowding Effects on the Michaelis-Menten Mechanism. Biophysical Journal. 117(2). 355–368. 19 indexed citations

13.

Bryan, Louise C., Daniel Weilandt, Andreas Bachmann, et al.. (2017). Single-molecule kinetic analysis of HP1-chromatin binding reveals a dynamic network of histone modification and DNA interactions. Nucleic Acids Research. 45(18). 10504–10517. 43 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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