Shanisha Gordon-Mitchell

109 total papers · 1.1k total citations
4 papers, 163 citations indexed

About

Shanisha Gordon-Mitchell is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Shanisha Gordon-Mitchell has authored 4 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 2 papers in Genetics and 1 paper in Molecular Biology. Recurrent topics in Shanisha Gordon-Mitchell's work include Acute Myeloid Leukemia Research (4 papers), interferon and immune responses (1 paper) and RNA Research and Splicing (1 paper). Shanisha Gordon-Mitchell is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), interferon and immune responses (1 paper) and RNA Research and Splicing (1 paper). Shanisha Gordon-Mitchell collaborates with scholars based in United States, India and United Kingdom. Shanisha Gordon-Mitchell's co-authors include Matthew J. Walter, Nathan Salomonis, Iain D. C. Fraser, Lyndsey Bolanos, Kith Pradhan, Sanghyun P. Kim, Tushar D. Bhagat, Andrea Pellagatti, Gaurav S. Choudhary and Kakajan Komurov and has published in prestigious journals such as Nature Cell Biology, Clinical Cancer Research and Leukemia & lymphoma.

In The Last Decade

Shanisha Gordon-Mitchell

3 papers receiving 163 citations

Author Peers

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

Author						Papers	Cites
Shanisha Gordon-Mitchell	96	95	53	33	22	4	163
Sebastian Shterental	128 1.3×	111 1.2×	38 0.7×	37 1.1×	15 0.7×	3	222
Sanchari Bhattacharyya	67 0.7×	111 1.2×	72 1.4×	28 0.8×	15 0.7×	3	175
Katharine Hodby	99 1.0×	112 1.2×	56 1.1×	24 0.7×	68 3.1×	6	242
Valerio Ciaurro	180 1.9×	90 0.9×	57 1.1×	17 0.5×	33 1.5×	8	234
Rutendo Gambe	210 2.2×	120 1.3×	25 0.5×	64 1.9×	32 1.5×	2	263
Bettina Moehrle	68 0.7×	63 0.7×	34 0.6×	15 0.5×	17 0.8×	5	126
Alix Rousseau	197 2.1×	75 0.8×	40 0.8×	21 0.6×	30 1.4×	6	279
Efthymia Papalexi	115 1.2×	71 0.7×	27 0.5×	22 0.7×	20 0.9×	6	168
Emilia J. Kozyra	43 0.4×	136 1.4×	47 0.9×	43 1.3×	13 0.6×	6	164
Laura Moreno	94 1.0×	154 1.6×	52 1.0×	31 0.9×	10 0.5×	6	217

Countries citing papers authored by Shanisha Gordon-Mitchell

Since Specialization

Citations

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

Fields of papers citing papers by Shanisha Gordon-Mitchell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shanisha Gordon-Mitchell. 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 Shanisha Gordon-Mitchell. The network helps show where Shanisha Gordon-Mitchell may publish in the future.

Co-authorship network of co-authors of Shanisha Gordon-Mitchell

This figure shows the co-authorship network connecting the top 25 collaborators of Shanisha Gordon-Mitchell. A scholar is included among the top collaborators of Shanisha Gordon-Mitchell 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 Shanisha Gordon-Mitchell. Shanisha Gordon-Mitchell 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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