Genghis H. Lopez

607 total citations
37 papers, 454 citations indexed

About

Genghis H. Lopez is a scholar working on Hematology, Physiology and Genetics. According to data from OpenAlex, Genghis H. Lopez has authored 37 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hematology, 24 papers in Physiology and 10 papers in Genetics. Recurrent topics in Genghis H. Lopez's work include Blood groups and transfusion (30 papers), Erythrocyte Function and Pathophysiology (24 papers) and Blood disorders and treatments (9 papers). Genghis H. Lopez is often cited by papers focused on Blood groups and transfusion (30 papers), Erythrocyte Function and Pathophysiology (24 papers) and Blood disorders and treatments (9 papers). Genghis H. Lopez collaborates with scholars based in Australia, China and Thailand. Genghis H. Lopez's co-authors include Catherine A. Hyland, Robert L. Flower, Yew‐Wah Liew, Z Zupanovic, AD Hyatt, Brett Wilson, Justine C. Condon, Helen O’Brien, SG Hengstberger and Anna Robinson and has published in prestigious journals such as Blood, Biotechnology and Bioengineering and British Journal of Haematology.

In The Last Decade

Genghis H. Lopez

35 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Genghis H. Lopez Australia 14 294 221 90 85 75 37 454
W.W. Socha United States 16 480 1.6× 335 1.5× 28 0.3× 210 2.5× 25 0.3× 77 810
Zhuoer Lin United States 8 178 0.6× 56 0.3× 69 0.8× 19 0.2× 55 0.7× 11 532
Brian A. Szekely United States 5 101 0.3× 25 0.1× 85 0.9× 42 0.5× 46 0.6× 5 357
Jan A. Hofmann Germany 15 244 0.8× 33 0.1× 38 0.4× 61 0.7× 37 0.5× 27 714
Irina Böhme Germany 7 149 0.5× 33 0.1× 28 0.3× 59 0.7× 34 0.5× 9 519
Julia Pingel Germany 14 291 1.0× 43 0.2× 39 0.4× 67 0.8× 14 0.2× 27 715
José Luis Arroyo Spain 11 124 0.4× 21 0.1× 42 0.5× 45 0.5× 39 0.5× 33 362
Mayumi I. Nonaka Japan 17 116 0.4× 42 0.2× 39 0.4× 68 0.8× 29 0.4× 30 715
F. J. Grundbacher United States 12 105 0.4× 143 0.6× 25 0.3× 83 1.0× 10 0.1× 24 555
A.S. Wiener United States 10 136 0.5× 85 0.4× 8 0.1× 75 0.9× 32 0.4× 45 357

Countries citing papers authored by Genghis H. Lopez

Since Specialization
Citations

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

Fields of papers citing papers by Genghis H. Lopez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Genghis H. Lopez. 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 Genghis H. Lopez. The network helps show where Genghis H. Lopez may publish in the future.

Co-authorship network of co-authors of Genghis H. Lopez

This figure shows the co-authorship network connecting the top 25 collaborators of Genghis H. Lopez. A scholar is included among the top collaborators of Genghis H. Lopez 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 Genghis H. Lopez. Genghis H. Lopez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lopez, Genghis H., Justine C. Condon, Robert L. Flower, et al.. (2025). KHOZ (KEL41): A novel low‐prevalence antigen in the Kell blood group system antithetical to KHIZ (KEL40). Transfusion. 65(7).
2.
Lopez, Genghis H., et al.. (2024). Impact of transcription factors KLF1 and GATA1 on red blood cell antigen expression: a review. Immunohematology. 40(1). 1–9.
3.
Wu, Ping Chun, et al.. (2024). A Bioinformatically Initiated Approach to Evaluate GATA1 Regulatory Regions in Samples with Weak D, Del, or D– Phenotypes Despite Normal <i>RHD</i> Exons. Transfusion Medicine and Hemotherapy. 51(4). 252–264. 3 indexed citations
4.
O’Brien, Helen, Genghis H. Lopez, James Daly, et al.. (2023). Feasibility for non‐invasive prenatal fetal blood group and platelet genotyping by massively parallel sequencing: A single test system for multiple atypical red cell, platelet and quality control markers. British Journal of Haematology. 204(2). 694–705. 5 indexed citations
5.
Moiz, Bushra, Catherine A. Hyland, Robert L. Flower, et al.. (2023). Recurrent pregnancy loss in a patient with anti‐Rh17. Transfusion Medicine. 34(1). 66–70. 1 indexed citations
6.
7.
Lopez, Genghis H., et al.. (2018). Comparison of two monoclonal antibodies for the detection of MIa (MNS7) in mns hybrid glycophorins. Pathology. 50. S104–S104. 2 indexed citations
8.
Hyland, Catherine A., Helen O’Brien, Genghis H. Lopez, et al.. (2017). Non-invasive fetal RHD genotyping for RhD negative women stratified into RHD gene deletion or variant groups: comparative accuracy using two blood collection tube types. Pathology. 49(7). 757–764. 20 indexed citations
9.
Lopez, Genghis H., Helen O’Brien, Eileen Roulis, et al.. (2017). A DEL phenotype attributed to RHD Exon 9 sequence deletion: slipped‐strand mispairing and blood group polymorphisms. Transfusion. 58(3). 685–691. 11 indexed citations
10.
11.
Hyland, Catherine A., et al.. (2016). Routine application of genotyping a step closer: direct PCR on plasma. Annals of Blood. 2. 3–3. 1 indexed citations
12.
Lopez, Genghis H., Rhiannon McBean, Brett Wilson, et al.. (2015). Molecular typing for the Indian blood group associated 252G>C single nucleotide polymorphism in a selected cohort of Australian blood donors.. PubMed. 13(1). 78–85. 15 indexed citations
13.
Lopez, Genghis H., Ling Wei, Yanli Ji, et al.. (2015). GYP*Kip, a novel GYP(B‐A‐B) hybrid allele, encoding the MNS48 (KIPP) antigen. Transfusion. 56(2). 539–541. 14 indexed citations
14.
15.
Goldman, Mindy, Arantxa Cemborain, Robert L. Flower, et al.. (2015). Identification of six new RHCE variant alleles in individuals of diverse racial origin. Transfusion. 56(1). 244–248. 3 indexed citations
16.
Lopez, Genghis H., Melinda M. Dean, Kazuta Yasui, et al.. (2011). A standardized immunofluorescence test method with human neutrophil antigen‐expressing cell lines to enhance antibody detection. Vox Sanguinis. 102(2). 171–174. 3 indexed citations
17.
Timmins, Nicholas, Stefanie Dietmair, Genghis H. Lopez, et al.. (2009). Clinical scale ex vivo manufacture of neutrophils from hematopoietic progenitor cells. Biotechnology and Bioengineering. 104(4). 832–840. 39 indexed citations
18.
Zupanovic, Z, Genghis H. Lopez, Alex D. Hyatt, Brian J. Shiell, & A.J. Robinson. (1998). An improved enzyme linked immunosorbent assay for detection of anti-ranavirus antibodies in the serum of the giant toad (Bufo marinus). Developmental & Comparative Immunology. 22(5-6). 573–585. 14 indexed citations
19.
Zupanovic, Z, Genghis H. Lopez, AD Hyatt, et al.. (1998). Giant toads Bufo marinus in Australia and Venezuela have antibodies against 'ranaviruses'. Diseases of Aquatic Organisms. 32(1). 1–8. 41 indexed citations
20.
Zupanovic, Z, Carlos G. Musso, Genghis H. Lopez, et al.. (1998). Isolation and characterization of iridoviruses from the giant toad Bufo marinus in Venezuela. Diseases of Aquatic Organisms. 33(1). 1–9. 53 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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