Michael Michal

10.2k citations
258 papers · 6.5k · 1 hit paper · h-index 38

Impact in

Papers in

Michael Michal

244 papers receiving 6.3k citations

Michael Michal's Hit Papers

The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Lymphoid Neoplasms 2022 · 2.3k citations
2.3k0+1+2Years since publication50010001.5k2.0k

Peers

Michael Michal
Comparison fields: 5 of 94
  • Pathology and Forensic Medicine 2.1k
  • Rheumatology 1.2k
  • Dermatology 758
  • Oncology 2.0k
  • Oral Surgery 474
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CDM Fletcher United States
John R. Goodlad United Kingdom
John K.C. Chan China
Guido Pettinato Italy
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Wei-Lien Wang United States
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Jeanne M. Meis‐Kindblom Sweden
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Citations per year

Countries citing papers authored by Michael Michal

Since Specialization
Citations

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

Fields of papers citing papers by Michael Michal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 258 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Lymphoid Neoplasms
Hit paper breakdown →
20222312
2 1998147
3 2017138
4 1999124
5 199686
6 200879
7 200076
8 200276
9 201675
10 201772
11 202067
12 199962
13 200261
14 199460
15 199356
16 199953
17 200053
18 199750
19 201950
20 199947

About Michael Michal

Michael Michal is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Oncology and Oral Surgery, having authored 258 papers that have together received 6.5k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (91 papers), Soft tissue tumor case studies (60 papers), Tumors and Oncological Cases (34 papers), Salivary Gland Tumors Diagnosis and Treatment (33 papers), Urologic and reproductive health conditions (28 papers), Oral and Maxillofacial Pathology (26 papers), Bone Tumor Diagnosis and Treatments (25 papers) and Cancer and Skin Lesions (25 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.1k citations), Rheumatology (1.2k citations), Dermatology (758 citations), Oncology (2.0k citations) and Oral Surgery (474 citations). Michael Michal has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Alena Skálová, Abbas Agaimy, Martin Syrůček, Dmitry V. Kazakov, Ilmo V.V. Leivo, Petr Mukenšnábl, Markku Miettinen, Michal Michal, Ladislav Hadravský and Michal Zámečník. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, The American Journal of Surgical Pathology, Histopathology, Human Pathology and Modern Pathology.

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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