Germán Pihán

5.5k citations
76 papers · 4.1k indexed · 1 hit paper · h-index 26

Germán Pihán

75 papers receiving 4.0k citations

Hit Papers

Immuno-SABER enables highly multiplexed and amplified pro...3162019202620212023100200300

Peers

Germán Pihán
Comparison fields: 5 of 115
  • Cell Biology 1.1k
  • Oncology 1.0k
  • Molecular Biology 2.3k
  • Cancer Research 500
  • Hematology 347
Replace Ewa Sicińska with:
Ewa Sicińska United States
Jiping Zha United States
Frank Dombrowski Germany
Juliane M. Jürgensmeier United States
Michael Höcker Germany
Hiroko Oshima Japan
Toshinari Minamoto Japan
David H. Perlmutter United States
Amardeep S. Dhillon Australia
Igor Vivanco United States
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Citations per field
00.5×1.5×
Ewa Sicińska · 1×
Citations per year

Countries citing papers authored by Germán Pihán

Since Specialization
Citations

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

Fields of papers citing papers by Germán Pihán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20234
3 202011
4
Immuno-SABER enables highly multiplexed and amplified protein imaging in tissuesbreakdown →
2019316
5 20181
6 201659
7 201410
8 2013105
9 20065
10 20059
11 200432
12
Centrosome abnormalities and chromosome instability occur together in pre-invasive carcinomas.
2003319
13 2003270
14 200378
15 200324
16 20014
17 198915
18 198911
19 198876
20 1987273

About Germán Pihán

Germán Pihán is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 76 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Viral-associated cancers and disorders (10 papers), Microtubule and mitosis dynamics (7 papers), Cancer-related Molecular Pathways (7 papers), Acute Myeloid Leukemia Research (6 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Myasthenia Gravis and Thymoma (5 papers). The work is most often cited by research in Cell Biology (1.1k citations), Oncology (1.0k citations) and Molecular Biology (2.3k citations). Germán Pihán has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Stephen Doxsey, Sándor Szabó, Bruce A. Woda, Aruna Purohit, Jan Wallace, Hans Knecht, P. J. Quesenberry, J. Wallace, Stephen N. Jones and Lance Liotta. Their work appears in journals such as Digestive Diseases and Sciences, Blood, The American Journal of Surgical Pathology, Modern Pathology and Blood Advances.

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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