Hernan Molina‐Kirsch

408 citations
8 papers · 292 · h-index 7

Impact in

Papers in

Hernan Molina‐Kirsch

8 papers receiving 290 citations

Peers

Hernan Molina‐Kirsch
Comparison fields: 5 of 33
  • Pathology and Forensic Medicine 205
  • Oncology 214
  • Immunology 142
  • Dermatology 44
  • Genetics 27
Replace Hui-Qiang Huang with:
Hui-Qiang Huang China
Emanuela Anna Pesce Italy
Anjali V. Morales United States
Martina Manni Italy
Marie-Hélène Delfau France
Lina Odqvist Sweden
R. Nath United States
Edgardo R. Parrilla Castellar United States
Chantal Lahet France
Laura Munro United Kingdom
Hernan Molina‐Kirsch relative to Hui-Qiang Huang China Hui-Qiang Huang's profile →
Citations per field
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Hui-Qiang Huang · 1×
Citations per year

Countries citing papers authored by Hernan Molina‐Kirsch

Since Specialization
Citations

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

Fields of papers citing papers by Hernan Molina‐Kirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hernan Molina‐Kirsch. 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 Hernan Molina‐Kirsch. The network helps show where Hernan Molina‐Kirsch may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201798
2 200862
3 201235
4 201333
5 200729
6 199720
7 201111
8 20184

About Hernan Molina‐Kirsch

Hernan Molina‐Kirsch is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Genetics and Dermatology, having authored 8 papers that have together received 292 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (4 papers), Immune Cell Function and Interaction (3 papers), Cutaneous lymphoproliferative disorders research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Eosinophilic Disorders and Syndromes (1 paper), CAR-T cell therapy research (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (205 citations), Oncology (214 citations), Immunology (142 citations), Dermatology (44 citations) and Genetics (27 citations). Hernan Molina‐Kirsch has collaborated with scholars based in United States, Guatemala and United Kingdom. Frequent co-authors include Shuchun Zhao, Yasodha Natkunam, Roger A. Warnke, Vivek Charu, Robert J. Marinelli, Erich Schwartz, Aharon G. Freud, Uma Sundram, Susan K. Atwater and Onsi W. Kamel. Their work appears in journals such as Human Pathology, American Journal of Clinical Pathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, American Journal Of Pathology and Journal of Cutaneous 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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