Adam Cornish

888 total citations
9 papers, 334 citations indexed

About

Adam Cornish is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Adam Cornish has authored 9 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Immunology. Recurrent topics in Adam Cornish's work include Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Genomics and Rare Diseases (2 papers). Adam Cornish is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Genomics and Rare Diseases (2 papers). Adam Cornish collaborates with scholars based in United States, China and France. Adam Cornish's co-authors include Chittibabu Guda, Kristin Wipfler, Wing C. Chan, Robert B. Norgren, Robert Gibbs, Javeed Iqbal, Xiaozhou Hu, Can Küçük, Philippe Gaulard and Xiong‐Fei Zhang and has published in prestigious journals such as Blood, Scientific Reports and American Journal Of Pathology.

In The Last Decade

Adam Cornish

9 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Cornish United States	7	179	94	72	69	51	9	334
Nadia Barizzone Italy	8	119 0.7×	48 0.5×	85 1.2×	93 1.3×	148 2.9×	12	340
Pengfei Niu China	10	187 1.0×	100 1.1×	57 0.8×	36 0.5×	11 0.2×	25	349
Jenny L. Kerschner United States	16	463 2.6×	133 1.4×	52 0.7×	36 0.5×	16 0.3×	32	682
Deanna C. Tremblay United States	10	464 2.6×	211 2.2×	46 0.6×	110 1.6×	28 0.5×	10	548
Corinne Fasquelle Belgium	11	193 1.1×	225 2.4×	27 0.4×	136 2.0×	18 0.4×	18	450
Jinzhi Duan China	9	361 2.0×	76 0.8×	75 1.0×	55 0.8×	14 0.3×	13	532
Erin Walsh United States	11	441 2.5×	213 2.3×	38 0.5×	58 0.8×	21 0.4×	18	608
Hannah Greenfeld United States	6	283 1.6×	30 0.3×	135 1.9×	81 1.2×	34 0.7×	6	479
Lidia Hildebrand Pulz Brazil	9	93 0.5×	121 1.3×	60 0.8×	67 1.0×	11 0.2×	22	320
Julia Hornig United States	9	254 1.4×	93 1.0×	91 1.3×	73 1.1×	19 0.4×	13	514

Countries citing papers authored by Adam Cornish

Since Specialization

Citations

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

Fields of papers citing papers by Adam Cornish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Cornish

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

1.

Cornish, Adam, Shrabasti Roychoudhury, Kishor K. Bhakat, et al.. (2020). Red panda: a novel method for detecting variants in single-cell RNA sequencing. BMC Genomics. 21(S11). 830–830. 2 indexed citations

2.

Wipfler, Kristin, Adam Cornish, & Chittibabu Guda. (2018). Comparative molecular characterization of typical and exceptional responders in glioblastoma. Oncotarget. 9(47). 28421–28433. 12 indexed citations

3.

Gong, Qiang, Chao Wang, Weiwei Zhang, et al.. (2017). Assessment of T-cell receptor repertoire and clonal expansion in peripheral T-cell lymphoma using RNA-seq data. Scientific Reports. 7(1). 11301–11301. 27 indexed citations

4.

Cornish, Adam, Robert Gibbs, & Robert B. Norgren. (2016). Exome screening to identify loss-of-function mutations in the rhesus macaque for development of preclinical models of human disease. BMC Genomics. 17(1). 170–170. 7 indexed citations

5.

Küçük, Can, Xiaozhou Hu, Qiang Gong, et al.. (2016). Diagnostic and Biological Significance of KIR Expression Profile Determined by RNA-Seq in Natural Killer/T-Cell Lymphoma. American Journal Of Pathology. 186(6). 1435–1441. 17 indexed citations

6.

Cornish, Adam & Chittibabu Guda. (2015). A Comparison of Variant Calling Pipelines Using Genome in a Bottle as a Reference. BioMed Research International. 2015. 1–11. 96 indexed citations

7.

Zimin, Aleksey V., Adam Cornish, Robert Gibbs, et al.. (2014). A new rhesus macaque assembly and annotation for next-generation sequencing analyses. Biology Direct. 9(1). 20–20. 126 indexed citations

8.

Küçük, Can, Bei Jiang, Xiaozhou Hu, et al.. (2013). Frequent Activating Mutations Of JAK-STAT Pathway Genes In Natural Killer Cell Lymphomas. Blood. 122(21). 812–812. 1 indexed citations

9.

Küçük, Can, Xiaozhou Hu, Javeed Iqbal, et al.. (2012). HACE1 Is a Tumor Suppressor Gene Candidate in Natural Killer Cell Neoplasms. American Journal Of Pathology. 182(1). 49–55. 46 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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