Daniel Schulz

4.1k total citations · 2 hit papers
36 papers, 2.4k citations indexed

About

Daniel Schulz is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Daniel Schulz has authored 36 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Daniel Schulz's work include Single-cell and spatial transcriptomics (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Liver Disease and Transplantation (4 papers). Daniel Schulz is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Liver Disease and Transplantation (4 papers). Daniel Schulz collaborates with scholars based in Germany, Switzerland and United States. Daniel Schulz's co-authors include Bernd Bodenmiller, Vito Riccardo Tomaso Zanotelli, Hartland W. Jackson, Denis Schapiro, Jana Fischer, Patrick Cramer, Björn Schwalb, Achim Tresch, Kerstin C. Maier and Dana Pe’er and has published in prestigious journals such as Cell, Nature Communications and Molecular Cell.

In The Last Decade

Daniel Schulz

33 papers receiving 2.4k 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.

An Immune Atlas of Clear Cell Renal Cell Carcinoma

2017 694 citations Stéphane Chevrier, Jacob Levine et al. Cell profile →
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data

2017 375 citations Denis Schapiro, Hartland W. Jackson et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Schulz Germany	17	1.5k	662	554	301	245	36	2.4k
Wilhelm G. Dirks Germany	28	1.8k 1.2×	463 0.7×	796 1.4×	234 0.8×	436 1.8×	76	3.1k
Marc Bossé Canada	18	1.6k 1.1×	376 0.6×	470 0.8×	175 0.6×	315 1.3×	31	2.5k
Thomas Eisenhaure United States	16	2.4k 1.6×	1.0k 1.5×	608 1.1×	115 0.4×	301 1.2×	22	3.3k
Svetlana Sadekova United States	16	1.5k 1.0×	1.1k 1.7×	1.1k 2.0×	205 0.7×	648 2.6×	23	3.1k
Christian Schmidl Germany	21	1.9k 1.3×	793 1.2×	376 0.7×	142 0.5×	306 1.2×	27	2.8k
Shigemi Kinoshita Japan	19	1.6k 1.1×	1.4k 2.2×	787 1.4×	128 0.4×	459 1.9×	29	3.5k
Michael J. Flaig Germany	25	1.1k 0.8×	471 0.7×	753 1.4×	118 0.4×	241 1.0×	74	2.8k
Burkhard Greve Germany	31	1.3k 0.9×	391 0.6×	668 1.2×	229 0.8×	589 2.4×	101	2.7k
Kai Tan United States	36	2.8k 1.9×	686 1.0×	360 0.6×	145 0.5×	389 1.6×	98	3.9k
Raktima Raychowdhury United States	21	3.1k 2.1×	917 1.4×	528 1.0×	243 0.8×	563 2.3×	32	4.4k

Countries citing papers authored by Daniel Schulz

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Schulz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schulz

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

All Works

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20 of 20 papers shown

Tapia, Juan, Naser Damer, Christoph Busch, et al.. (2024). First Competition on Presentation Attack Detection on ID Card. TUbilio (Technical University of Darmstadt). 1–10.

Morfouace, Marie, Daniel Schulz, Nils Eling, et al.. (2023). 2266P IMMUcan consortium: Focus on the first results of the non-small cell lung cancer (NSCLC) cohort. Annals of Oncology. 34. S1164–S1164. 2 indexed citations

Morfouace, Marie, Laurence Buisseret, Benjamin Besse, et al.. (2023). 195P IMMUcan: Toward a better understanding of the tumor microenvironment to inform precision oncology approaches. Immuno-Oncology Technology. 20. 100654–100654.

Yahya, Galal, Prince Saforo Amponsah, Daniel Schulz, et al.. (2022). Sublinear scaling of the cellular proteome with ploidy. Nature Communications. 13(1). 6182–6182. 26 indexed citations

Mitamura, Yasutaka, Daniel Schulz, S. Oro, et al.. (2021). Cutaneous and systemic hyperinflammation drives maculopapular drug exanthema in severely ill COVID‐19 patients. Allergy. 77(2). 595–608. 24 indexed citations

Krüger, M., et al.. (2021). Outcome of Repeat Pulmonary Metastasectomy. Advances in experimental medicine and biology. 1335. 37–44. 5 indexed citations

Schulz, Daniel, Yannik Severin, Vito Riccardo Tomaso Zanotelli, & Bernd Bodenmiller. (2019). In-Depth Characterization of Monocyte-Derived Macrophages using a Mass Cytometry-Based Phagocytosis Assay. Scientific Reports. 9(1). 1925–1925. 125 indexed citations

Addo, Richard, Frederik Heinrich, Gitta Anne Heinz, et al.. (2019). Single‐cell transcriptomes of murine bone marrow stromal cells reveal niche‐associated heterogeneity. European Journal of Immunology. 49(9). 1372–1379. 31 indexed citations

Hertlein, Tobias, Daniel M. Mrochen, Daniel Schulz, et al.. (2018). Bringing together what belongs together: Optimizing murine infection models by using mouse-adapted Staphylococcus aureus strains. International Journal of Medical Microbiology. 309(1). 26–38. 18 indexed citations

10.

Schulz, Daniel, et al.. (2018). Inactivation of the Mouse L-Proline Transporter PROT Alters Glutamatergic Synapse Biochemistry and Perturbs Behaviors Required to Respond to Environmental Changes. Frontiers in Molecular Neuroscience. 11. 279–279. 23 indexed citations

11.

Schapiro, Denis, Hartland W. Jackson, Jana Fischer, et al.. (2017). histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data. Nature Methods. 14(9). 873–876. 375 indexed citations breakdown →

12.

Schulz, Daniel, Vito Riccardo Tomaso Zanotelli, Jana Fischer, et al.. (2017). Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry. Cell Systems. 6(1). 25–36.e5. 205 indexed citations

13.

Mrochen, Daniel M., Dorothee Grumann, Daniel Schulz, et al.. (2017). Global spread of mouse-adapted Staphylococcus aureus lineages CC1, CC15, and CC88 among mouse breeding facilities. International Journal of Medical Microbiology. 308(6). 598–606. 16 indexed citations

14.

Mrochen, Daniel M., Daniel Schulz, Stefan Fischer, et al.. (2017). Wild rodents and shrews are natural hosts of Staphylococcus aureus. International Journal of Medical Microbiology. 308(6). 590–597. 44 indexed citations

15.

Chevrier, Stéphane, Jacob Levine, Vito Riccardo Tomaso Zanotelli, et al.. (2017). An Immune Atlas of Clear Cell Renal Cell Carcinoma. Cell. 169(4). 736–749.e18. 694 indexed citations breakdown →

16.

Schulz, Daniel, Dorothee Grumann, Kathleen R. Pritchett‐Corning, et al.. (2017). Laboratory Mice Are Frequently Colonized with Staphylococcus aureus and Mount a Systemic Immune Response—Note of Caution for In vivo Infection Experiments. Frontiers in Cellular and Infection Microbiology. 7. 152–152. 34 indexed citations

17.

Franke, Stefan, Daniel Schulz, Joerg Seeburger, Bernhard Preim, & Thomas Neumuth. (2013). A surgical assistance system for transcatheter aortic valve implantation based on a magic lens concept.. 165–168. 1 indexed citations

18.

Sun, Mai, Björn Schwalb, Daniel Schulz, et al.. (2012). Comparative dynamic transcriptome analysis (cDTA) reveals mutual feedback between mRNA synthesis and degradation. Genome Research. 22(7). 1350–1359. 216 indexed citations

19.

Sato, Brian K., et al.. (2009). Misfolded Membrane Proteins Are Specifically Recognized by the Transmembrane Domain of the Hrd1p Ubiquitin Ligase. Molecular Cell. 34(2). 212–222. 163 indexed citations

20.

Schulz, Daniel & Frank Mueller. (2000). A thread-aware debugger with an open interface. 201–211. 4 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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