M. Pitman

716 citations
15 papers · 569 · h-index 9

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Diagnosis and Treatment
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

M. Pitman

13 papers receiving 534 citations

Peers

M. Pitman
Comparison fields: 5 of 31
  • Oncology 392
  • Hepatology 45
  • Pulmonary and Respiratory Medicine 69
  • Surgery 63
  • Epidemiology 42
Replace Bernard Masson with:
Bernard Masson France
Akinari Miyazaki Japan
Daniela M. Proca United States
Daniëlle Verver Netherlands
Shunichi Osada Japan
Taira Kuroda Japan
Kazuya Matsunaga Japan
Raffaella Gentile Italy
Fabio Luís WAECHTER Brazil
M. Pitman relative to Bernard Masson France Bernard Masson's profile →
Citations per field
00.5×1.5×
Bernard Masson · 1×
Citations per year

Countries citing papers authored by M. Pitman

Since Specialization
Citations

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

Fields of papers citing papers by M. Pitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011236
2 200783
3 199557
4
The usefulness of the reticulin stain in the differential diagnosis of liver nodules on fine-needle aspiration biopsy cell block preparations.
199753
5 201352
6 201427
7 201020
8
Mucoepidermoid carcinoma ex pleomorphic adenoma of the parotid gland.
199514
9 201112
10 20008
11 20133
12 20102
13 20222
14 20080
15 20130

About M. Pitman

M. Pitman is a scholar working on Oncology, Pathology and Forensic Medicine, Hepatology, Information Systems and Management and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 569 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Innovations in Medical Education (2 papers), Salivary Gland Tumors Diagnosis and Treatment (1 paper), Bone Tumor Diagnosis and Treatments (1 paper), Clinical Laboratory Practices and Quality Control (1 paper), Publishing and Scholarly Communication (1 paper), Vascular Malformations and Hemangiomas (1 paper) and Academic Publishing and Open Access (1 paper). The work is most often cited by research in Oncology (392 citations), Hepatology (45 citations), Pulmonary and Respiratory Medicine (69 citations), Surgery (63 citations) and Epidemiology (42 citations). M. Pitman has collaborated with scholars based in United States, France and India. Frequent co-authors include Vikram Deshpande, William Robert Brugge, Simon Bergman, Fiona Graeme‐Cook, Mari A. Mino-Kenudson, Won Jae Yoon, Carlos Fernández-del Castillo, Ebubekir S. Daglilar, Andrew Scott Liss and Sarah P. Thayer. Their work appears in journals such as Cytopathology, HPB, American Journal of Roentgenology, Gut and Endoscopy.

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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