H. Schulz

27.7k total citations · 2 hit papers
118 papers, 3.2k citations indexed

About

H. Schulz is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, H. Schulz has authored 118 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pathology and Forensic Medicine, 31 papers in Pulmonary and Respiratory Medicine and 30 papers in Genetics. Recurrent topics in H. Schulz's work include Lymphoma Diagnosis and Treatment (32 papers), Chronic Lymphocytic Leukemia Research (20 papers) and CNS Lymphoma Diagnosis and Treatment (15 papers). H. Schulz is often cited by papers focused on Lymphoma Diagnosis and Treatment (32 papers), Chronic Lymphocytic Leukemia Research (20 papers) and CNS Lymphoma Diagnosis and Treatment (15 papers). H. Schulz collaborates with scholars based in Germany, United States and United Kingdom. H. Schulz's co-authors include Andreas Engert, Volker Diehl, Oliver Manzke, U. Winkler, Mark A. Jensen, Hendrik Pels, Julia Bohlius, Marcel Reiser, A. G. Buckley and J. M. Butterworth and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

H. Schulz

106 papers receiving 3.1k citations

Hit Papers

Cytokine-Release Syndrome in Patients With B-Cell Chronic... 1999 2026 2008 2017 1999 2013 100 200 300 400 500

Peers

H. Schulz
Comparison fields: 5 of 151
  • Pathology and Forensic Medicine 1.4k
  • Genetics 988
  • Oncology 806
  • Neurology 669
  • Pulmonary and Respiratory Medicine 575
Replace M. Durand with:
M. Durand France
Weiping Liu China
Hong Dai China
Duncan Porter United Kingdom
Joseph C. Eggleston United States
G. van Kaick Germany
Raymond Miralbell Switzerland
John P. Perentesis United States
Matthew Li United States
Jonathan Carter Australia
M. Durand France View profile →
Citations per field, relative to H. Schulz
H. Schulz · 1×
Citations per year, relative to H. Schulz
H. Schulz · 1×

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-authorship network of co-authors of H. Schulz

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 0
3 0
4 2
5 3
6 11
7 4
8 5
9 40
10 0
11 0
12
HIGH DOSE CHEMOTHERAPY WITH AUTOLOGOUS STEM CELL SUPPORT IN FIRST LINE TREATMENT OF AGGRESSIVE NON HODGKIN LYMPHOMA: RESULTS OF AN INDIVIDUAL PATIENT DATA META-ANALYSIS
1
13 67
14 2
15 15
16 54
17 61
18 22
19 37
20 11

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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