Chad W. Lawrence

10 total papers · 597 total citations
8 papers, 435 citations indexed

About

Chad W. Lawrence is a scholar working on Molecular Biology, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Chad W. Lawrence has authored 8 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Automotive Engineering. Recurrent topics in Chad W. Lawrence's work include Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers) and Advanced battery technologies research (2 papers). Chad W. Lawrence is often cited by papers focused on Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers) and Advanced battery technologies research (2 papers). Chad W. Lawrence collaborates with scholars based in United States. Chad W. Lawrence's co-authors include Éric Walter, Scott A. Showalter, Lelia Cosimbescu, Xiaoliang Wei, Lu Zhang, Wesley A. Henderson, Wu Xu, Tianbiao Liu, Vijayakumar Murugesan and Bin Li and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Chad W. Lawrence

8 papers receiving 431 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chad W. Lawrence	328	137	111	87	72	8	435
Eunbi Cho	242 0.7×	75 0.5×	26 0.2×	29 0.3×	76 1.1×	11	387
Selin Ergun	318 1.0×	103 0.8×	137 1.2×	34 0.4×	46 0.6×	9	383
Taewoo Kwon	326 1.0×	29 0.2×	67 0.6×	67 0.8×	83 1.2×	10	443
Sunrui Luan	307 0.9×	79 0.6×	18 0.2×	116 1.3×	102 1.4×	10	464
Yi Zou	311 0.9×	158 1.2×	154 1.4×	6 0.1×	71 1.0×	10	419
Kaihua Yu	223 0.7×	13 0.1×	37 0.3×	106 1.2×	132 1.8×	13	430
Andreas Wohlfarth	329 1.0×	86 0.6×	38 0.3×	19 0.2×	16 0.2×	12	452
Pengkun Li	255 0.8×	277 2.0×	67 0.6×	25 0.3×	15 0.2×	12	464
Yichao Yan	423 1.3×	186 1.4×	100 0.9×	7 0.1×	49 0.7×	13	481
Weihao Ji	213 0.6×	66 0.5×	13 0.1×	260 3.0×	31 0.4×	11	439

Countries citing papers authored by Chad W. Lawrence

Since Specialization

Citations

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

Fields of papers citing papers by Chad W. Lawrence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad W. Lawrence. 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 Chad W. Lawrence. The network helps show where Chad W. Lawrence may publish in the future.

Co-authorship network of co-authors of Chad W. Lawrence

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

All Works

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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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