Daniel Schulz

36 papers receiving 2.8k citations

Daniel Schulz's Hit Papers

An Immune Atlas of Clear Cell Renal Cell Carcinoma 2017 · 794 citations
7940+3+6Years since publication250500750

Peers

Daniel Schulz
Comparison fields: 5 of 157
  • Biophysics 265
  • Immunology 727
  • Oncology 582
  • Molecular Biology 1.4k
  • Cancer Research 251
Replace Marc MB Bosse with:
Marc MB Bosse United States
Michael E. Rothenberg United States
Lukas M. Weber Switzerland
Ann P. Wheeler United Kingdom
Shigemi M. Kinoshita Japan
Shengbao Suo China
Angela Ruohao Wu Hong Kong
Sarah E. Pierce United States
Ofra Golani Israel
Edwin D. Hawkins Australia
Daniel Schulz relative to Marc MB Bosse United States Marc MB Bosse's profile →
Citations per field
00.5×2×2.7×
Marc MB Bosse · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Schulz, 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 Schulz Line = papers co-authored together Daniel Schulz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Immune Atlas of Clear Cell Renal Cell Carcinoma
Hit paper breakdown →
2017794
2
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data
Hit paper breakdown →
2017470
3 2011286
4 2017224
5 2009172
6 2020166
7 2019141
8 2013122
9 201595
10 201750
11 201842
12 201737
13 201933
14 202230
15 202128
16 201825
17 201822
18 201220
19 201719
20 202211

About Daniel Schulz

Daniel Schulz is a scholar working on Hepatology, Immunology, Molecular Biology, Microbiology and Infectious Diseases, having authored 40 papers that have together received 2.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Liver Disease and Transplantation (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Immune cells in cancer (3 papers), Bacterial biofilms and quorum sensing (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Biophysics (265 citations), Immunology (727 citations), Oncology (582 citations), Molecular Biology (1.4k citations) and Cancer Research (251 citations). Daniel Schulz has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Bernd Bodenmiller, Vito Riccardo Tomaso Zanotelli, Hartland Warren Jackson, Denis Schapiro, Jana Raja Fischer, Charlotte Giesen, Christian Beisel, Laurie Ailles, Holger Moch and Craig A. Gedye. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, International Journal of Medical Microbiology, Acta Ophthalmologica, Nature Communications and European Journal of Immunology.

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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