James Way

805 total citations
9 papers, 696 citations indexed

About

James Way is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, James Way has authored 9 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in James Way's work include Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (4 papers) and Peptidase Inhibition and Analysis (2 papers). James Way is often cited by papers focused on Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (4 papers) and Peptidase Inhibition and Analysis (2 papers). James Way collaborates with scholars based in United States, Israel and Canada. James Way's co-authors include James F. Battey, Hagit Shapira, Kiyoshi Kusano, David Coy, Robert D. Jensen, Edward A. Sausville, Gerald Krystal, Richard Kahn, Lee E. Moore and Alyssa M. Krasinskas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.

In The Last Decade

James Way

9 papers receiving 681 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Way United States 9 454 297 130 120 53 9 696
J.F. Battey United States 11 687 1.5× 554 1.9× 130 1.0× 309 2.6× 124 2.3× 16 1.1k
Gary O. Gaufo United States 13 474 1.0× 255 0.9× 85 0.7× 77 0.6× 17 0.3× 19 660
Weijia Dong Canada 15 362 0.8× 169 0.6× 140 1.1× 100 0.8× 32 0.6× 17 752
M. Elizabeth Forbes United States 16 532 1.2× 355 1.2× 64 0.5× 104 0.9× 19 0.4× 27 937
Rumiko Takauji Japan 12 344 0.8× 368 1.2× 62 0.5× 65 0.5× 34 0.6× 18 931
Prithi Rajan United States 13 590 1.3× 219 0.7× 58 0.4× 259 2.2× 38 0.7× 21 954
Yimei Qian United States 11 771 1.7× 172 0.6× 155 1.2× 97 0.8× 16 0.3× 11 1.0k
Samuel S. Ng Hong Kong 8 382 0.8× 101 0.3× 34 0.3× 71 0.6× 18 0.3× 13 582
Masato Fukui Japan 15 207 0.5× 101 0.3× 48 0.4× 284 2.4× 29 0.5× 41 660

Countries citing papers authored by James Way

Since Specialization
Citations

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

Fields of papers citing papers by James Way

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Way

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

All Works

9 of 9 papers shown
1.
Fathi, Zahra, James Way, Martha H. Corjay, et al.. (1996). Bombesin receptor structure and expression in human lung carcinoma cell lines. Journal of Cellular Biochemistry. 63(S24). 237–246. 44 indexed citations
2.
Dong, Qihan, Andrew Shenker, James Way, et al.. (1995). Molecular Cloning of Human Gαq cDNA and Chromosomal Localization of the Gαq Gene (GNAQ) and a Processed Pseudogene. Genomics. 30(3). 470–475. 27 indexed citations
3.
Shapira, Hagit, et al.. (1994). Neuromedin B receptor, expressed in Xenopus laevis oocytes, selectively couples to Gαq and not Gα11. FEBS Letters. 348(1). 89–92. 43 indexed citations
4.
Moore, Lee E., Alyssa M. Krasinskas, James Way, et al.. (1993). Selective amplification of additional members of the ADP-ribosylation factor (ARF) family: cloning of additional human and Drosophila ARF-like genes.. Proceedings of the National Academy of Sciences. 90(19). 8952–8956. 112 indexed citations
5.
Way, James, Mark R. Hellmich, Howard Jaffe, et al.. (1992). A high-molecular-weight squid neurofilament protein contains a lamin-like rod domain and a tail domain with Lys-Ser-Pro repeats.. Proceedings of the National Academy of Sciences. 89(15). 6963–6967. 56 indexed citations
6.
Way, James, et al.. (1991). cDNA cloning, characterization, and brain region-specific expression of a neuromedin-B-preferring bombesin receptor. Neuron. 6(3). 421–430. 247 indexed citations
7.
Markowitz, Sanford D., Gerald Krystal, Anne‐Marie Lebacq‐Verheyden, et al.. (1988). Transcriptional activation and DNase I hypersensitive sites are associated with selective expression of the gastrin-releasing peptide gene.. Journal of Clinical Investigation. 82(3). 808–815. 13 indexed citations
8.
Lebacq‐Verheyden, Anne‐Marie, Geoffrey W. Krystal, Oliver Sartor, James Way, & James F. Battey. (1988). The Rat Prepro Gastrin Releasing Peptide Gene is Transcribed from Two Initiation Sites in the Brain. Molecular Endocrinology. 2(6). 556–563. 44 indexed citations
9.
Krystal, Gerald, Michael J. Birrer, James Way, et al.. (1988). Multiple mechanisms for transcriptional regulation of the myc gene family in small-cell lung cancer.. Molecular and Cellular Biology. 8(8). 3373–3381. 110 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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