Michael Herold

132 papers receiving 3.4k citations

Michael Herold's Hit Papers

Obinutuzumab for the First-Line Treatment of Follicular Lymphoma 2017 · 494 citations
4940+3+6Years since publication100200300400

Peers

Michael Herold
Comparison fields: 5 of 156
  • Pathology and Forensic Medicine 1.7k
  • Genetics 830
  • Oncology 1.0k
  • Reproductive Medicine 183
  • Pharmacology 154
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Wen Xu China
Kai Fu United States
Pierfrancesco Tassone Italy
Ding Ma China
Yun Dai United States
Kōichi Goto Japan
Xiao‐Feng Sun Sweden
Carmen Behrens United States
Hing Y. Leung United Kingdom
Qian Chu China
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Citations per field
00.5×2×4×6×8.7×
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Citations per year

Countries citing papers authored by Michael Herold

Since Specialization
Citations

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

Fields of papers citing papers by Michael Herold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Obinutuzumab for the First-Line Treatment of Follicular Lymphoma
Hit paper breakdown →
2017494
2 2007391
3 2018152
4 1999133
5 2017129
6
Efficacy of bendamustine in patients with relapsed or refractory chronic lymphocytic leukemia: results of a phase I/II study of the German CLL Study Group.
2005106
7 2001101
8 202294
9 201289
10 200781
11 199973
12 201872
13 199760
14 201459
15 199052
16 201551
17 199448
18 199646
19 200343
20 201937

About Michael Herold

Michael Herold is a scholar working on Pathology and Forensic Medicine, Genetics, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 138 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (58 papers), Chronic Lymphocytic Leukemia Research (26 papers), Metabolomics and Mass Spectrometry Studies (18 papers), Viral-associated cancers and disorders (15 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Organic Electronics and Photovoltaics (8 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.7k citations), Genetics (830 citations), Oncology (1.0k citations), Reproductive Medicine (183 citations) and Pharmacology (154 citations). Michael Herold has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Wolfgang Hiddemann, M. Schwoerer, Robert Marcus, John F. Seymour, Tilmann Walk, J. Gmeiner, Hennicke Kamp, W. Mellert, Ingo Lenk and Christiane Gatz. Their work appears in journals such as Blood, Toxicology Letters, Journal of Clinical Oncology, Hematological Oncology and Value in Health.

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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