Hernan Molina‐Kirsch

408 total citations
8 papers, 292 citations indexed

About

Hernan Molina‐Kirsch is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Hernan Molina‐Kirsch has authored 8 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 6 papers in Oncology and 3 papers in Immunology. Recurrent topics in Hernan Molina‐Kirsch's work include Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (4 papers) and Immune Cell Function and Interaction (3 papers). Hernan Molina‐Kirsch is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (4 papers) and Immune Cell Function and Interaction (3 papers). Hernan Molina‐Kirsch collaborates with scholars based in United States, Guatemala and United Kingdom. Hernan Molina‐Kirsch's co-authors include Shuchun Zhao, Yasodha Natkunam, Roger A. Warnke, Vivek Charu, Erich Schwartz, Robert J. Marinelli, Aharon G. Freud, Uma Sundram, Susan K. Atwater and Matt van de Rijn and has published in prestigious journals such as American Journal Of Pathology, Human Pathology and American Journal of Clinical Pathology.

In The Last Decade

Hernan Molina‐Kirsch

8 papers receiving 290 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hernan Molina‐Kirsch United States 7 214 205 142 44 35 8 292
Hui-Qiang Huang China 6 245 1.1× 198 1.0× 167 1.2× 22 0.5× 34 1.0× 8 334
R. Nath United States 7 140 0.7× 170 0.8× 130 0.9× 33 0.8× 24 0.7× 15 280
Emanuela Anna Pesce Italy 6 169 0.8× 257 1.3× 69 0.5× 63 1.4× 42 1.2× 12 287
Anjali V. Morales United States 6 137 0.6× 139 0.7× 139 1.0× 117 2.7× 34 1.0× 7 294
Lina Odqvist Sweden 6 150 0.7× 157 0.8× 92 0.6× 16 0.4× 45 1.3× 10 290
Sébastian Wittnebel France 9 136 0.6× 80 0.4× 117 0.8× 14 0.3× 24 0.7× 19 260
Martina Manni Italy 4 98 0.5× 147 0.7× 67 0.5× 61 1.4× 10 0.3× 15 174
Farzaneh Maadani United States 6 143 0.7× 189 0.9× 75 0.5× 61 1.4× 30 0.9× 9 274
Laura Munro United Kingdom 5 226 1.1× 173 0.8× 321 2.3× 17 0.4× 8 0.2× 6 435
Marie-Hélène Delfau France 7 114 0.5× 150 0.7× 51 0.4× 65 1.5× 8 0.2× 14 213

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-authorship network of co-authors of Hernan Molina‐Kirsch

This figure shows the co-authorship network connecting the top 25 collaborators of Hernan Molina‐Kirsch. A scholar is included among the top collaborators of Hernan Molina‐Kirsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hernan Molina‐Kirsch. Hernan Molina‐Kirsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Bello, Giuseppe, Ayse U. Akarca, Maria Raffaella Ambrosio, et al.. (2018). Granulysin, a novel marker for extranodal NK/T cell lymphoma, nasal type. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 473(6). 749–757. 4 indexed citations
2.
Charu, Vivek, et al.. (2017). Programmed death-1 ligands PD-L1 and PD-L2 show distinctive and restricted patterns of expression in lymphoma subtypes. Human Pathology. 71. 91–99. 98 indexed citations
3.
Freud, Aharon G., et al.. (2013). Expression of the Activating Receptor, NKp46 (CD335), in Human Natural Killer and T-Cell Neoplasia. American Journal of Clinical Pathology. 140(6). 853–866. 33 indexed citations
4.
Anderson, Matthew W., Shuchun Zhao, Aharon G. Freud, et al.. (2012). CD137 Is Expressed in Follicular Dendritic Cell Tumors and in Classical Hodgkin and T-Cell Lymphomas. American Journal Of Pathology. 181(3). 795–803. 35 indexed citations
5.
Perry, Anamarija M., Hernan Molina‐Kirsch, Bharat N. Nathwani, et al.. (2011). Classification of non-Hodgkin lymphomas in Guatemala according to the World Health Organization system. Leukemia & lymphoma. 52(9). 1681–1688. 11 indexed citations
6.
Schwartz, Erich, Hernan Molina‐Kirsch, Shuchun Zhao, et al.. (2008). Immunohistochemical Characterization of Nasal-Type Extranodal NK/T-Cell Lymphoma Using a Tissue Microarray. American Journal of Clinical Pathology. 130(3). 343–351. 62 indexed citations
7.
Molina‐Kirsch, Hernan, et al.. (2007). Hydroa‐like lymphoma with CD56 expression. Journal of Cutaneous Pathology. 35(5). 488–494. 29 indexed citations
8.
Rijn, Matt van de, Vivek Bhargava, Hernan Molina‐Kirsch, et al.. (1997). Extranodal head and neck lymphomas in guatemala: High frequency of epstein-barr virus-associated sinonasal lymphomas. Human Pathology. 28(7). 834–839. 20 indexed citations

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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