Jim Abraham

583 total citations
31 papers, 224 citations indexed

About

Jim Abraham is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jim Abraham has authored 31 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 11 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jim Abraham's work include Cancer Genomics and Diagnostics (11 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Genetic factors in colorectal cancer (6 papers). Jim Abraham is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Genetic factors in colorectal cancer (6 papers). Jim Abraham collaborates with scholars based in United States, Austria and Japan. Jim Abraham's co-authors include David Spetzler, Xin Zhao, Scott M. Lippman, William N. William, Ludmil B. Alexandrov, Webster K. Cavenee, Joanne Xiu, Teresa Davoli, Joy J. Bianchi and W. Michael Korn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Jim Abraham

26 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jim Abraham United States	8	118	78	58	49	29	31	224
Ji‐Hye Oh South Korea	9	92 0.8×	72 0.9×	59 1.0×	91 1.9×	28 1.0×	14	220
Roberto Piciotti Italy	9	128 1.1×	76 1.0×	50 0.9×	86 1.8×	36 1.2×	15	317
Marit Valla Norway	10	103 0.9×	103 1.3×	56 1.0×	106 2.2×	36 1.2×	23	307
Amy M.B. McCorry United Kingdom	6	134 1.1×	57 0.7×	31 0.5×	57 1.2×	66 2.3×	7	192
Cai‐Jin Lin China	11	152 1.3×	132 1.7×	96 1.7×	60 1.2×	55 1.9×	34	329
Flavia Jacobs Italy	11	169 1.4×	134 1.7×	104 1.8×	57 1.2×	44 1.5×	40	311
Gennaro Palmiotti Italy	9	163 1.4×	61 0.8×	105 1.8×	74 1.5×	33 1.1×	22	332
Amna Sheri United Kingdom	9	200 1.7×	147 1.9×	72 1.2×	61 1.2×	66 2.3×	20	306
Hazem Khout United Kingdom	9	108 0.9×	85 1.1×	24 0.4×	43 0.9×	38 1.3×	21	222
Judit Pápay Hungary	12	135 1.1×	90 1.2×	129 2.2×	139 2.8×	14 0.5×	31	338

Countries citing papers authored by Jim Abraham

Since Specialization

Citations

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

Fields of papers citing papers by Jim Abraham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Abraham

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

All Works

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20 of 20 papers shown

Ribeiro, Jennifer R., Todd Maney, Stephanie Rock, et al.. (2025). GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling. Cancer Research Communications. 5(9). 1477–1489. 1 indexed citations

Sledge, George W., Takayuki Yoshino, Jennifer R. Ribeiro, et al.. (2025). Real-world evidence provides clinical insights into tissue-agnostic therapeutic approvals. Nature Communications. 16(1). 2646–2646. 4 indexed citations

Evans, Elizabeth, Jim Abraham, Andrew Hinton, et al.. (2025). Whole-exome sequencing provides assessment of homologous recombination deficiency for identification of PARPi-responsive ovarian tumors. Gynecologic Oncology. 197. 139–145.

Chandra, Prem, Hana J Abukhadijah, Tawa Olukade, et al.. (2025). Impact of pregnant mothers’ previous COVID-19 infection and vaccination on newborns’ serological profiling. Frontiers in Immunology. 16. 1526264–1526264.

Khushman, Moh’d, Joanne Xiu, Upender Manne, et al.. (2024). Differential Responses to Immune Checkpoint Inhibitors are Governed by Diverse Mismatch Repair Gene Alterations. Clinical Cancer Research. 30(9). 1906–1915. 10 indexed citations

Ali‐Fehmi, Rouba, Matthew J. Oberley, Thomas J. Herzog, et al.. (2023). Analysis of concordance between microsatellite instability by next generation sequencing (NGS-MSI) and mismatch repair deficiency by immunohistochemistry (IHC-MMR) in >28,000 colorectal tumors.. Journal of Clinical Oncology. 41(4_suppl). 30–30. 1 indexed citations

Baca, Yasmine, Joanne Xiu, Michael J. Hall, et al.. (2023). Comparative analysis of the molecular profile and tumor immune microenvironment (TIME) of human epidermal growth factor receptor 2 (HER2) low (L)- versus high (H)-expressing gastroesophageal cancers (GEC).. Journal of Clinical Oncology. 41(4_suppl). 287–287. 5 indexed citations

Lou, Emil, Nishant Gandhi, Alex Farrell, et al.. (2023). Leveraging Transcriptomics to Grade Pancreatic Neuroendocrine Neoplasms(NENs) and Assess Molecular Alterations Associated with Somatostatin Receptor(SSTR) Subtype Expression. Endocrine Abstracts.

Evans, Elizabeth, Jim Abraham, Jian Zhang, et al.. (2022). Whole exome sequencing provides loss of heterozygosity (LoH) data comparable to that of whole genome sequencing (171). Gynecologic Oncology. 166. S100–S100. 4 indexed citations

10.

Kim, So Yeon, Jun‐Jie Yin, Phillip Walker, et al.. (2022). Characterization of MET Exon 14 Skipping Alterations (in NSCLC) and Identification of Potential Therapeutic Targets Using Whole Transcriptome Sequencing. JTO Clinical and Research Reports. 3(9). 100381–100381. 13 indexed citations

11.

Kawanishi, Natsuko, Joanne Xiu, Hiroyuki Arai, et al.. (2022). Hippo pathway signaling associated with immune cell trafficking in colorectal cancer.. Journal of Clinical Oncology. 40(4_suppl). 156–156. 1 indexed citations

12.

Shaikh, Hira, Pavel Brodskiy, Joanne Xiu, et al.. (2022). Genomic profiling and outcomes of BRAF V600E mutated papillary thyroid cancer.. Journal of Clinical Oncology. 40(16_suppl). e18086–e18086.

13.

Zhao, Xin, Ezra E.W. Cohen, William N. William, et al.. (2022). Somatic 9p24.1 alterations in HPV ^– head and neck squamous cancer dictate immune microenvironment and anti-PD-1 checkpoint inhibitor activity. Proceedings of the National Academy of Sciences. 119(47). e2213835119–e2213835119. 23 indexed citations

14.

Xiu, Joanne, Alex Farrell, Michael J. Overman, et al.. (2022). Comprehensive genomic and transcriptomic characterization of small bowel adenocarcinoma.. Journal of Clinical Oncology. 40(16_suppl). 4018–4018. 3 indexed citations

15.

Abraham, Jim, Amy B. Heimberger, John L. Marshall, et al.. (2021). Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type. Translational Oncology. 14(3). 101016–101016. 27 indexed citations

16.

Elliott, Andrew, Michelle Saul, John L. Marshall, et al.. (2021). Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes. Scientific Reports. 11(1). 5639–5639.

17.

Abraham, Jim, Daniel Magee, Chiara Cremolini, et al.. (2020). Clinical Validation of a Machine-learning–derived Signature Predictive of Outcomes from First-line Oxaliplatin-based Chemotherapy in Advanced Colorectal Cancer. Clinical Cancer Research. 27(4). 1174–1183. 35 indexed citations

18.

Abraham, Jim, Amy B. Heimberger, Zoran Gatalica, W. Michael Korn, & David Spetzler. (2019). Machine learning algorithm analysis using a commercial 592-gene NGS panel to accurately predict tumor lineage for carcinoma of unknown primary (CUP).. Journal of Clinical Oncology. 37(15_suppl). 3083–3083. 1 indexed citations

19.

Leitzel, Kim, Seth A. Ettenberg, Robert J. Walsh, et al.. (2007). Elevated serum M-CSF level predicts reduced survival in metastatic breast cancer patients. Journal of Clinical Oncology. 25(18_suppl). 10591–10591. 4 indexed citations

20.

Abraham, Jim. (2000). Review of Software project management: A unified framework by Walker Royce, Addison-Wesley Longman, Inc., Reading, MA, 1998. IBM Systems Journal. 39(2). 405–407. 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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