Nickolas Tsakmaklis

88 total papers · 756 total citations
32 papers, 362 citations indexed

About

Nickolas Tsakmaklis is a scholar working on Genetics, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Nickolas Tsakmaklis has authored 32 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 8 papers in Immunology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Nickolas Tsakmaklis's work include Chronic Lymphocytic Leukemia Research (29 papers), Lymphoma Diagnosis and Treatment (6 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). Nickolas Tsakmaklis is often cited by papers focused on Chronic Lymphocytic Leukemia Research (29 papers), Lymphoma Diagnosis and Treatment (6 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). Nickolas Tsakmaklis collaborates with scholars based in United States, Spain and China. Nickolas Tsakmaklis's co-authors include Jorge J. Castillo, Zachary R. Hunter, Steven P. Treon, Guang Yang, Lian Xu, Sandra Kanan, Yang Cao, Christopher J. Patterson, Scott J. Rodig and Xingguang Liu and has published in prestigious journals such as Blood, British Journal of Haematology and Leukemia.

In The Last Decade

Nickolas Tsakmaklis

22 papers receiving 357 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nickolas Tsakmaklis	304	273	176	96	61	32	362
Amber B. Koehler	284 0.9×	216 0.8×	81 0.5×	69 0.7×	67 1.1×	29	333
Aileen Cohen	265 0.9×	241 0.9×	76 0.4×	124 1.3×	65 1.1×	30	362
Gerasimos Pangalis	231 0.8×	184 0.7×	75 0.4×	109 1.1×	72 1.2×	21	376
Shinya Rai	161 0.5×	149 0.5×	64 0.4×	102 1.1×	70 1.1×	45	379
Julia von Tresckow	333 1.1×	303 1.1×	127 0.7×	92 1.0×	49 0.8×	34	390
Stefan Norin	215 0.7×	185 0.7×	111 0.6×	78 0.8×	131 2.1×	28	392
Anna Puiggros	221 0.7×	167 0.6×	131 0.7×	73 0.8×	60 1.0×	25	339
Carmen Aguilera	200 0.7×	180 0.7×	107 0.6×	113 1.2×	73 1.2×	22	302
Ewa Wąsik‐Szczepanek	276 0.9×	155 0.6×	193 1.1×	68 0.7×	75 1.2×	43	391
Neil Came	147 0.5×	105 0.4×	68 0.4×	186 1.9×	74 1.2×	17	307

Countries citing papers authored by Nickolas Tsakmaklis

Since Specialization

Citations

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

Fields of papers citing papers by Nickolas Tsakmaklis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nickolas Tsakmaklis

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

All Works

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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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