John Lahad

2.0k total citations
10 papers, 1.5k citations indexed

About

John Lahad is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, John Lahad has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in John Lahad's work include Endoplasmic Reticulum Stress and Disease (3 papers), Genomics and Chromatin Dynamics (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). John Lahad is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Genomics and Chromatin Dynamics (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). John Lahad collaborates with scholars based in United States, Canada and Israel. John Lahad's co-authors include Gordon B. Mills, Kwai Wa Cheng, Joe W. Gray, Jinsong Liu, Wen-Lin Kuo, Karen H. Lu, David A. Fishman, Karen Smith‐McCune, Kyosuke Yamada and Nelly Auersperg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

John Lahad

10 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Lahad United States	8	1.1k	499	329	232	117	10	1.5k
Fabiana C. Morales United States	13	1.0k 0.9×	304 0.6×	332 1.0×	187 0.8×	78 0.7×	16	1.4k
Kimita Suyama United States	11	933 0.8×	276 0.6×	445 1.4×	214 0.9×	73 0.6×	18	1.3k
Larisa Litovchick United States	24	1.4k 1.2×	293 0.6×	669 2.0×	245 1.1×	151 1.3×	54	1.8k
David B. Whyte United States	11	1.3k 1.2×	224 0.4×	532 1.6×	186 0.8×	185 1.6×	15	1.8k
Esther Sook Miin Wong Singapore	18	1.5k 1.3×	303 0.6×	205 0.6×	201 0.9×	134 1.1×	22	1.6k
Jan Saras Sweden	13	1.1k 1.0×	403 0.8×	212 0.6×	132 0.6×	115 1.0×	16	1.6k
Arcangela De Nicolo Italy	12	990 0.9×	444 0.9×	358 1.1×	267 1.2×	313 2.7×	19	1.4k
Chiara Francavilla Denmark	23	1.5k 1.3×	294 0.6×	308 0.9×	221 1.0×	105 0.9×	40	1.9k
Yaara Zwang Israel	17	1.5k 1.4×	709 1.4×	645 2.0×	282 1.2×	82 0.7×	19	2.1k
Richard E. Cutler United States	19	1.1k 1.0×	234 0.5×	506 1.5×	165 0.7×	94 0.8×	46	1.6k

Countries citing papers authored by John Lahad

Since Specialization

Citations

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

Fields of papers citing papers by John Lahad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Lahad

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

All Works

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10 of 10 papers shown

Murph, Mandi M., Wenbin Liu, Shuangxing Yu, et al.. (2009). Lysophosphatidic Acid-Induced Transcriptional Profile Represents Serous Epithelial Ovarian Carcinoma and Worsened Prognosis. PLoS ONE. 4(5). e5583–e5583. 53 indexed citations

Nanjundan, Meera, Yasuhisa Nakayama, Kwai Wa Cheng, et al.. (2007). Amplification of MDS1/EVI1 and EVI1, Located in the 3q26.2 Amplicon, Is Associated with Favorable Patient Prognosis in Ovarian Cancer. Cancer Research. 67(7). 3074–3084. 110 indexed citations

Amit, Ido, Ami Citri, Tal Shay, et al.. (2007). A module of negative feedback regulators defines growth factor signaling. Nature Genetics. 39(4). 503–512. 360 indexed citations

Rai, Rekha, Hui Dai, Asha S. Multani, et al.. (2006). BRIT1 regulates early DNA damage response, chromosomal integrity, and cancer. Cancer Cell. 10(2). 145–157. 118 indexed citations

Cheng, Kwai Wa, et al.. (2005). Emerging Role of RAB GTPases in Cancer and Human Disease. Cancer Research. 65(7). 2516–2519. 180 indexed citations

Eder, Astrid, Xiaomei Sui, Daniel Rosen, et al.. (2005). Atypical PKCι contributes to poor prognosis through loss of apical-basal polarity and Cyclin E overexpression in ovarian cancer. Proceedings of the National Academy of Sciences. 102(35). 12519–12524. 188 indexed citations

Lahad, John. (2005). Stem cell-ness: a "magic marker" for cancer. Journal of Clinical Investigation. 115(8). 2298–2298. 2 indexed citations

Cheng, Kwai Wa, John Lahad, & Gordon B. Mills. (2004). Analysis of Molecular Aberrations in Ovarian Cancer Allows Novel Target Identification. Journal of Obstetrics and Gynaecology Canada. 26(5). 461–473. 1 indexed citations

Umezu‐Goto, Makiko, János L. Tanyi, John Lahad, et al.. (2004). Lysophosphatidic acid production and action: Validated targets in cancer?. Journal of Cellular Biochemistry. 92(6). 1115–1140. 83 indexed citations

10.

Cheng, Kwai Wa, John Lahad, Wen-Lin Kuo, et al.. (2004). The RAB25 small GTPase determines aggressiveness of ovarian and breast cancers. Nature Medicine. 10(11). 1251–1256. 408 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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