Labib R. Zakka

669 total citations
9 papers, 424 citations indexed

About

Labib R. Zakka is a scholar working on Pathology and Forensic Medicine, Rheumatology and Oncology. According to data from OpenAlex, Labib R. Zakka has authored 9 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 4 papers in Rheumatology and 3 papers in Oncology. Recurrent topics in Labib R. Zakka's work include Autoimmune Bullous Skin Diseases (5 papers), Urticaria and Related Conditions (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Labib R. Zakka is often cited by papers focused on Autoimmune Bullous Skin Diseases (5 papers), Urticaria and Related Conditions (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Labib R. Zakka collaborates with scholars based in United States, Spain and Israel. Labib R. Zakka's co-authors include Martín C. Mihm, Nayoung Lee, Tobias Schatton, Pedro A. Reche, A. Razzaque Ahmed, A. Razzaque Ahmed, Derin B. Keskin, A. R. Ahmed, Teresa M. O and Laura E. MacConaill and has published in prestigious journals such as Science, Breast Cancer Research and Treatment and Clinical & Experimental Immunology.

In The Last Decade

Labib R. Zakka

9 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Labib R. Zakka United States	9	187	173	124	91	87	9	424
Tomoko Miyata‐Takata Japan	15	302 1.6×	119 0.7×	377 3.0×	68 0.7×	95 1.1×	38	552
Jasper Rip Netherlands	11	107 0.6×	253 1.5×	132 1.1×	142 1.6×	182 2.1×	26	518
Yoshinori Nonomura Japan	10	161 0.9×	187 1.1×	33 0.3×	89 1.0×	36 0.4×	24	441
Craig Soderquist United States	12	132 0.7×	77 0.4×	129 1.0×	132 1.5×	179 2.1×	25	420
Carmen P. Montano‐Almendras Belgium	6	206 1.1×	47 0.3×	244 2.0×	97 1.1×	169 1.9×	7	435
Stephanie Groth Germany	9	101 0.5×	50 0.3×	107 0.9×	224 2.5×	80 0.9×	13	375
Florence Armstrong France	10	171 0.9×	118 0.7×	129 1.0×	290 3.2×	82 0.9×	12	630
Cristina Cristofoletti Italy	10	84 0.4×	163 0.9×	133 1.1×	114 1.3×	42 0.5×	20	413
Gonzalo Blanco Spain	10	71 0.4×	86 0.5×	67 0.5×	89 1.0×	112 1.3×	28	345
Eva Maria Murga Penas Germany	14	247 1.3×	111 0.6×	239 1.9×	182 2.0×	196 2.3×	31	550

Countries citing papers authored by Labib R. Zakka

Since Specialization

Citations

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

Fields of papers citing papers by Labib R. Zakka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Labib R. Zakka. 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 Labib R. Zakka. The network helps show where Labib R. Zakka may publish in the future.

Co-authorship network of co-authors of Labib R. Zakka

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

All Works

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9 of 9 papers shown

Hodis, Eran, Elena Torlai Triglia, John Kwon, et al.. (2022). Stepwise-edited, human melanoma models reveal mutations’ effect on tumor and microenvironment. Science. 376(6592). eabi8175–eabi8175. 32 indexed citations

Anderson, Karen S., Meixuan Chen, Heather Daley, et al.. (2022). The feasibility of using an autologous GM-CSF-secreting breast cancer vaccine to induce immunity in patients with stage II–III and metastatic breast cancers. Breast Cancer Research and Treatment. 194(1). 65–78. 15 indexed citations

Lee, Nayoung, Labib R. Zakka, Martín C. Mihm, & Tobias Schatton. (2016). Tumour-infiltrating lymphocytes in melanoma prognosis and cancer immunotherapy. Pathology. 48(2). 177–187. 196 indexed citations

Lian, Christine G., Lynette M. Sholl, Labib R. Zakka, et al.. (2014). Novel Genetic Mutations in a Sporadic Port-Wine Stain. JAMA Dermatology. 150(12). 1336–1336. 47 indexed citations

Zakka, Labib R., et al.. (2012). Rituximab in the Treatment of Pemphigus Vulgaris. Dermatology and Therapy. 2(1). 17–17. 41 indexed citations

Zakka, Labib R., Pedro A. Reche, & A. Razzaque Ahmed. (2011). The molecular basis for the presence of two autoimmune diseases occurring simultaneously – Preliminary observations based on computer analysis. Autoimmunity. 45(3). 253–263. 8 indexed citations

Zakka, Labib R., et al.. (2011). The role of natural killer cells in autoimmune blistering diseases. Autoimmunity. 45(1). 44–54. 21 indexed citations

Zakka, Labib R., Pedro A. Reche, & A. Razzaque Ahmed. (2011). Role of MHC Class II Genes in the pathogenesis of pemphigoid. Autoimmunity Reviews. 11(1). 40–47. 50 indexed citations

Zakka, Labib R., Derin B. Keskin, Pedro A. Reche, & A. R. Ahmed. (2010). Relationship between target antigens and major histocompatibility complex (MHC) class II genes in producing two pathogenic antibodies simultaneously. Clinical & Experimental Immunology. 162(2). 224–236. 14 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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