Craig M. Goodwin

152 total papers · 1.6k total citations
17 papers, 333 citations indexed

About

Craig M. Goodwin is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Craig M. Goodwin has authored 17 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Craig M. Goodwin's work include Protein Degradation and Inhibitors (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cell death mechanisms and regulation (3 papers). Craig M. Goodwin is often cited by papers focused on Protein Degradation and Inhibitors (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cell death mechanisms and regulation (3 papers). Craig M. Goodwin collaborates with scholars based in United States, Taiwan and Norway. Craig M. Goodwin's co-authors include Stephen W. Fesik, Olivia W. Rossanese, Edward T. Olejniczak, Johannes Belmar, Zhiguo Bian, Bin Zhao, Anders Friberg, Taekyu Lee, Subrata Shaw and DeMarco V. Camper and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Journal of Colloid and Interface Science.

In The Last Decade

Craig M. Goodwin

17 papers receiving 320 citations

Author Peers

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

Author						Papers	Cites
Craig M. Goodwin	237	101	85	45	24	17	333
Weijie Gao	247 1.0×	75 0.7×	108 1.3×	28 0.6×	40 1.7×	15	385
Michalina Respondek	225 0.9×	71 0.7×	69 0.8×	18 0.4×	22 0.9×	16	375
Chunlong Zhao	272 1.1×	120 1.2×	90 1.1×	11 0.2×	18 0.8×	21	370
Ana S. Newton	145 0.6×	85 0.8×	152 1.8×	51 1.1×	23 1.0×	18	384
Santwana Kar	135 0.6×	95 0.9×	109 1.3×	22 0.5×	57 2.4×	11	371
Masato Yabuki	225 0.9×	109 1.1×	56 0.7×	41 0.9×	22 0.9×	15	293
Tyler S. Beyett	229 1.0×	106 1.0×	76 0.9×	52 1.2×	35 1.5×	24	357
Sei Yoshida	272 1.1×	112 1.1×	81 1.0×	73 1.6×	23 1.0×	22	370
Han-Li Huang	276 1.2×	98 1.0×	102 1.2×	20 0.4×	30 1.3×	18	385
Pierre Champelovier	165 0.7×	65 0.6×	102 1.2×	7 0.2×	34 1.4×	17	354

Countries citing papers authored by Craig M. Goodwin

Since Specialization

Citations

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

Fields of papers citing papers by Craig M. Goodwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig M. Goodwin. 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 Craig M. Goodwin. The network helps show where Craig M. Goodwin may publish in the future.

Co-authorship network of co-authors of Craig M. Goodwin

This figure shows the co-authorship network connecting the top 25 collaborators of Craig M. Goodwin. A scholar is included among the top collaborators of Craig M. Goodwin 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 Craig M. Goodwin. Craig M. Goodwin 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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