Gina Leisching

46 total papers · 623 total citations
27 papers, 440 citations indexed

About

Gina Leisching is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Gina Leisching has authored 27 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 15 papers in Infectious Diseases and 10 papers in Molecular Biology. Recurrent topics in Gina Leisching's work include Tuberculosis Research and Epidemiology (15 papers), interferon and immune responses (10 papers) and Mycobacterium research and diagnosis (8 papers). Gina Leisching is often cited by papers focused on Tuberculosis Research and Epidemiology (15 papers), interferon and immune responses (10 papers) and Mycobacterium research and diagnosis (8 papers). Gina Leisching collaborates with scholars based in South Africa, Ireland and United States. Gina Leisching's co-authors include Bienyameen Baker, Ian Wiid, Anna‐Mart Engelbrecht, Ben Loos, Matthys H. Botha, Victoria Cole, Aus Tariq Ali, Hridesh Mishra, Carel J. van Heerden and Joseph Keane and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of Infectious Diseases.

In The Last Decade

Gina Leisching

22 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Gina Leisching	189	186	167	136	50	27	440
Seunga Choi	203 1.1×	177 1.0×	187 1.1×	125 0.9×	52 1.0×	26	439
Xialin Du	223 1.2×	204 1.1×	100 0.6×	112 0.8×	53 1.1×	23	491
Tongsheng Guo	146 0.8×	101 0.5×	121 0.7×	129 0.9×	23 0.5×	20	459
Miao Jiang	178 0.9×	121 0.7×	139 0.8×	66 0.5×	24 0.5×	35	460
Weixian Chen	212 1.1×	120 0.6×	109 0.7×	130 1.0×	42 0.8×	29	484
Yuankai Lin	91 0.5×	190 1.0×	147 0.9×	141 1.0×	36 0.7×	19	431
Kristin Morris	125 0.7×	198 1.1×	90 0.5×	116 0.9×	113 2.3×	23	459
Nicolás Oscar Amiano	101 0.5×	175 0.9×	139 0.8×	127 0.9×	47 0.9×	22	479
Anne Marstad	200 1.1×	95 0.5×	108 0.6×	151 1.1×	31 0.6×	12	392
Jingbo Zhai	219 1.2×	191 1.0×	65 0.4×	74 0.5×	45 0.9×	41	465

Countries citing papers authored by Gina Leisching

Since Specialization

Citations

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

Fields of papers citing papers by Gina Leisching

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Leisching

This figure shows the co-authorship network connecting the top 25 collaborators of Gina Leisching. A scholar is included among the top collaborators of Gina Leisching 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 Gina Leisching. Gina Leisching 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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