James S. Newhouse

428 total citations
8 papers, 333 citations indexed

About

James S. Newhouse is a scholar working on Molecular Biology, Cell Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, James S. Newhouse has authored 8 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in James S. Newhouse's work include Hemoglobin structure and function (3 papers), Porphyrin Metabolism and Disorders (2 papers) and Neonatal Health and Biochemistry (2 papers). James S. Newhouse is often cited by papers focused on Hemoglobin structure and function (3 papers), Porphyrin Metabolism and Disorders (2 papers) and Neonatal Health and Biochemistry (2 papers). James S. Newhouse collaborates with scholars based in United States, Malaysia and France. James S. Newhouse's co-authors include M. Shahid Alam, Jennifer A. Saito, Gregory A. Voth, G. González, Marie‐Alda Gilles‐Gonzalez, Tracey Freitas, Shaobin Hou, Elhadji M. Dioum, Jason R. Tuckerman and Rohana Yusof and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

James S. Newhouse

8 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James S. Newhouse United States	6	207	139	45	42	37	8	333
Delphine Flatters France	11	417 2.0×	24 0.2×	36 0.8×	42 1.0×	12 0.3×	27	530
A. Achari United States	7	264 1.3×	27 0.2×	23 0.5×	51 1.2×	39 1.1×	10	383
Ekaterina E. Zheleznova United States	8	225 1.1×	42 0.3×	15 0.3×	20 0.5×	18 0.5×	9	376
Jason J. Serpa Canada	13	330 1.6×	38 0.3×	49 1.1×	64 1.5×	18 0.5×	17	474
Wenguang Shao United States	12	294 1.4×	25 0.2×	45 1.0×	37 0.9×	7 0.2×	19	463
David K. Jemiolo United States	12	393 1.9×	121 0.9×	13 0.3×	34 0.8×	22 0.6×	15	527
Yo‐hei Watanabe Japan	12	530 2.6×	124 0.9×	7 0.2×	193 4.6×	10 0.3×	24	607
Wilma A. Saffran United States	13	345 1.7×	119 0.9×	16 0.4×	13 0.3×	33 0.9×	19	529
Victoria Beilsten-Edmands United Kingdom	9	473 2.3×	56 0.4×	9 0.2×	53 1.3×	9 0.2×	9	561
Thavamani Rajapandi United States	11	372 1.8×	31 0.2×	140 3.1×	31 0.7×	19 0.5×	15	550

Countries citing papers authored by James S. Newhouse

Since Specialization

Citations

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

Fields of papers citing papers by James S. Newhouse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James S. Newhouse

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

All Works

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8 of 8 papers shown

Newhouse, James S., et al.. (2021). Coarse-Grained Force Fields from the Perspective of Statistical Mechanics: Better Understanding of the Origins of a MARTINI Hangover. Journal of Chemical Theory and Computation. 17(2). 1170–1180. 64 indexed citations

Wan, Xuehua, Jennifer A. Saito, James S. Newhouse, Shaobin Hou, & M. Shahid Alam. (2017). The importance of conserved amino acids in heme-based globin-coupled diguanylate cyclases. PLoS ONE. 12(8). e0182782–e0182782. 4 indexed citations

Newhouse, James S., et al.. (2013). Molecular dynamics study of hell’s gate globin I (HGbI) from a methanotrophic extremophile: oxygen migration through a large cavity. Journal of Molecular Modeling. 19(6). 2265–2271. 2 indexed citations

Teh, Aik-Hong, Jennifer A. Saito, Jason R. Tuckerman, et al.. (2011). Hell's Gate globin I: An acid and thermostable bacterial hemoglobin resembling mammalian neuroglobin. FEBS Letters. 585(20). 3250–3258. 29 indexed citations

Wan, Xuehua, Jason R. Tuckerman, Jennifer A. Saito, et al.. (2009). Globins Synthesize the Second Messenger Bis-(3′–5′)-Cyclic Diguanosine Monophosphate in Bacteria. Journal of Molecular Biology. 388(2). 262–270. 76 indexed citations

Fritzinger, David C., James S. Newhouse, John R. Ciallella, et al.. (2008). Derivatives of Human Complement Component C3 for Therapeutic Complement Depletion: A Novel Class of Therapeutic Agents. Advances in experimental medicine and biology. 632. 282–296. 13 indexed citations

Othman, Rozana, et al.. (2008). Docking of Noncompetitive Inhibitors into Dengue Virus Type 2 Protease: Understanding the Interactions with Allosteric Binding Sites. Journal of Chemical Information and Modeling. 48(8). 1582–1591. 61 indexed citations

Freitas, Tracey, Shaobin Hou, Elhadji M. Dioum, et al.. (2004). Ancestral hemoglobins in Archaea. Proceedings of the National Academy of Sciences. 101(17). 6675–6680. 84 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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