Jacob Kagan

5.3k total citations
81 papers, 2.8k citations indexed

About

Jacob Kagan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, Jacob Kagan has authored 81 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 21 papers in Pulmonary and Respiratory Medicine and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Jacob Kagan's work include Prostate Cancer Treatment and Research (19 papers), Advanced Proteomics Techniques and Applications (11 papers) and Prostate Cancer Diagnosis and Treatment (10 papers). Jacob Kagan is often cited by papers focused on Prostate Cancer Treatment and Research (19 papers), Advanced Proteomics Techniques and Applications (11 papers) and Prostate Cancer Diagnosis and Treatment (10 papers). Jacob Kagan collaborates with scholars based in United States, Israel and Germany. Jacob Kagan's co-authors include Sudhir Srivastava, Patricia Troncoso, Carlo M. Croce, Ian M. Thompson, Ziding Feng, L R Finger, Lori J. Sokoll, Karin Rodland, Alan W. Partin and Martin G. Sanda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Nature reviews. Cancer.

In The Last Decade

Jacob Kagan

81 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacob Kagan United States	32	1.4k	681	512	416	310	81	2.8k
Peter Peschke Germany	41	1.4k 1.0×	1.3k 2.0×	763 1.5×	66 0.2×	657 2.1×	147	4.7k
Partha Roy United States	31	1.0k 0.7×	471 0.7×	219 0.4×	54 0.1×	315 1.0×	120	3.1k
Lynda G. Bobrow United Kingdom	33	1.2k 0.9×	340 0.5×	1.4k 2.8×	134 0.3×	1.6k 5.3×	79	4.3k
Shunsuke Furuta Japan	25	796 0.6×	765 1.1×	131 0.3×	56 0.1×	162 0.5×	87	2.4k
Tore Lindmo Norway	30	1.2k 0.9×	473 0.7×	356 0.7×	34 0.1×	725 2.3×	97	3.5k
G. Mike Makrigiorgos United States	39	2.0k 1.4×	1.3k 1.9×	1.2k 2.4×	79 0.2×	673 2.2×	148	4.4k
Chung‐Han Lee United States	31	2.3k 1.7×	1.5k 2.2×	1.1k 2.2×	67 0.2×	1.3k 4.1×	140	3.9k
Katherine A. Vallis United Kingdom	40	1.4k 1.1×	1.0k 1.5×	864 1.7×	63 0.2×	1.4k 4.6×	154	4.6k
Brian J. Reid United States	15	786 0.6×	722 1.1×	257 0.5×	151 0.4×	304 1.0×	21	2.4k

Countries citing papers authored by Jacob Kagan

Since Specialization

Citations

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

Fields of papers citing papers by Jacob Kagan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Kagan

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

Wang, Hui, Christopher E. Barbieri, Jintang He, et al.. (2017). Quantification of mutant SPOP proteins in prostate cancer using mass spectrometry-based targeted proteomics. Journal of Translational Medicine. 15(1). 175–175. 5 indexed citations

Wang, Hui, Tujin Shi, Weijun Qian, et al.. (2015). The clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification. Expert Review of Proteomics. 13(1). 99–114. 47 indexed citations

Rastogi, Anshu, Shyh‐Han Tan, Shashwat Sharad, et al.. (2014). ERG Monoclonal Antibody in the Diagnosis and Biological Stratification of Prostate Cancer: Delineation of Minimal Epitope, Critical Residues for Binding, and Molecular Basis of Specificity. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 33(4). 201–208. 4 indexed citations

Young, Denise, Yongmei Chen, Jennifer Cullen, et al.. (2014). Predominance of ERG-negative high-grade prostate cancers in African American men. Molecular and Clinical Oncology. 2(6). 982–986. 20 indexed citations

Liu, Tao, Mahmud Hossain, Athena Schepmoes, et al.. (2012). Analysis of serum total and free PSA using immunoaffinity depletion coupled to SRM: correlation with clinical immunoassay tests. Journal of Proteomics. 75(15). 4747–4757. 38 indexed citations

Baird, Cheryl L., Keith D. Miller, David Apiyo, et al.. (2008). Immobilization strategies for single‐chain antibody microarrays. PROTEOMICS. 8(11). 2199–2210. 21 indexed citations

Vijayakumar, Sapna, Dawn Garcia, Charles H. Hensel, et al.. (2005). The human Y chromosome suppresses the tumorigenicity of PC‐3, a human prostate cancer cell line, in athymic nude mice. Genes Chromosomes and Cancer. 44(4). 365–372. 40 indexed citations

Kagan, Jacob & Sudhir Srivastava. (2005). Mitochondria As A Target For Early Detection and Diagnosis of Cancer. Critical Reviews in Clinical Laboratory Sciences. 42(5-6). 453–472. 17 indexed citations

Grizzle, William E., Bao-Ling Adam, William L. Bigbee, et al.. (2004). Serum Protein Expression Profiling for Cancer Detection: Validation of a SELDI‐Based Approach for Prostate Cancer. Disease Markers. 19(4-5). 185–195. 52 indexed citations

10.

Verma, Mukesh, Jacob Kagan, David Sidransky, & Sudhir Srivastava. (2003). Proteomic analysis of cancer-cell mitochondria. Nature reviews. Cancer. 3(10). 789–795. 81 indexed citations

11.

Babaian, Richard J., Patricia Troncoso, Sara S. Strom, et al.. (2001). Limiting the location of putative human prostate cancer tumor suppressor genes on chromosome 18q. Oncogene. 20(18). 2273–2280. 51 indexed citations

12.

Spitz, Margaret R., Sara S. Strom, Yuko Yamamura, et al.. (2000). Epidemiologic determinants of clinically relevant prostate cancer. International Journal of Cancer. 89(3). 259–264. 37 indexed citations

13.

Spitz, Margaret R., et al.. (1999). Limiting the location of a putative human prostate cancer tumor suppressor gene at chromosome 13q14.3. Oncogene. 18(52). 7576–7583. 41 indexed citations

14.

Kagan, Jacob, et al.. (1998). Cluster of allele losses within a 2.5 cM region of chromosome 10 in high-grade invasive bladder cancer. Oncogene. 16(7). 909–913. 37 indexed citations

15.

El‐Naggar, Adel K., Madelene M Coombes, John G. Batsakis, et al.. (1998). Localization of chromosome 8p regions involved in early tumorigenesis of oral and laryngeal squamous carcinoma. Oncogene. 16(23). 2983–2987. 62 indexed citations

16.

Kagan, Jacob, Y. Shimony, Yehoshua Kalisky, et al.. (1997). Solar-pumped solid state laser program. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3110. 196–196. 35 indexed citations

17.

Kagan, Jacob & Timothy J. McDonnell. (1994). Chromosomal translocations in leukemia and lymphoma. 46(3). 264–273. 1 indexed citations

18.

Hirsch‐Ginsberg, Cheryl, Jacob Kagan, Jan C. Liang, & S Stass. (1993). Recent advances in the diagnosis of acute leukemia. 45(1). 64–77. 1 indexed citations

19.

Stass, Sanford A., et al.. (1993). The Human Urokinase-Plasminogen Activator Gene (PLAU) Is Located on Chromosome 10q24 Centromeric to the HOX11 Gene. Genomics. 16(1). 301–302. 5 indexed citations

20.

Kagan, Jacob & Carlo M. Croce. (1991). Molecular biology of lymphoid malignancies. Annals of Oncology. 2 Suppl 2. 9–21. 6 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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