H. Schulz

106 papers receiving 3.2k citations

H. Schulz's Hit Papers

Rivet user manual 2013 · 293 citations
2930+9+18Years since publication100200300400500

Peers

H. Schulz
Comparison fields: 5 of 147
  • Genetics 834
  • Pathology and Forensic Medicine 1.2k
  • Neurology 614
  • Nuclear and High Energy Physics 516
  • Oncology 650
Replace Joseph C. Eggleston with:
Joseph C. Eggleston United States
Michael Flentje Germany
Hong Dai China
Raymond Miralbell Switzerland
N Aoki Japan
Chih‐Yen Chien Taiwan
Matthew Li United States
G. van Kaick Germany
Hiroshi Date Japan
John P. Perentesis United States
H. Schulz relative to Joseph C. Eggleston United States Joseph C. Eggleston's profile →
Citations per field
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Joseph C. Eggleston · 1×
Citations per year

Countries citing papers authored by H. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by H. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cytokine-Release Syndrome in Patients With B-Cell Chronic Lymphocytic Leukemia and High Lymphocyte Counts After Treatment With an Anti-CD20 Monoclonal Antibody (Rituximab, IDEC-C2B8)
Hit paper breakdown →
1999520
2 2003302
3
Rivet user manual
Hit paper breakdown →
2013293
4 1997215
5 2005152
6 2007107
7 2001102
8 200298
9 202088
10 201679
11 200774
12 200871
13 200968
14 200864
15 200261
16 201558
17 200958
18 200254
19 201843
20 200342

About H. Schulz

H. Schulz is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Genetics, Oncology and Neurology, having authored 118 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (27 papers), Chronic Lymphocytic Leukemia Research (17 papers), CNS Lymphoma Diagnosis and Treatment (14 papers), Particle physics theoretical and experimental studies (11 papers), Lung Cancer Treatments and Mutations (11 papers), Glioma Diagnosis and Treatment (7 papers), Colorectal Cancer Treatments and Studies (6 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Genetics (834 citations), Pathology and Forensic Medicine (1.2k citations), Neurology (614 citations), Nuclear and High Energy Physics (516 citations) and Oncology (650 citations). H. Schulz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Andreas Engert, Volker Diehl, Oliver Manzke, U. Winkler, Mark A. Jensen, Hendrik Pels, Julia Bohlius, Marcel Reiser, J. M. Butterworth and Leif Lönnblad. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cochrane Database of Systematic Reviews, Annals of Oncology and Physical review. D.

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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