Christopher S. Poss

579 total citations
8 papers, 413 citations indexed

About

Christopher S. Poss is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Christopher S. Poss has authored 8 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Oncology. Recurrent topics in Christopher S. Poss's work include Chemical Synthesis and Analysis (3 papers), Computational Drug Discovery Methods (2 papers) and Chemokine receptors and signaling (2 papers). Christopher S. Poss is often cited by papers focused on Chemical Synthesis and Analysis (3 papers), Computational Drug Discovery Methods (2 papers) and Chemokine receptors and signaling (2 papers). Christopher S. Poss collaborates with scholars based in United States. Christopher S. Poss's co-authors include Stuart L. Schreiber, Scott D. Rychnovsky, John C. Kath, William H. Martin, Laurie Tylaska, Paul D. Lira, Eric B. McElroy, Timothy Paradis, Maryrose J. Conklyn and Matthew F. Brown and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Accounts of Chemical Research.

In The Last Decade

Christopher S. Poss

8 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher S. Poss United States	7	289	116	61	50	43	8	413
Grier A. Wallace United States	11	296 1.0×	108 0.9×	40 0.7×	87 1.7×	42 1.0×	16	411
William A. Metz United States	13	262 0.9×	172 1.5×	53 0.9×	13 0.3×	24 0.6×	22	424
Mark A. Zottola United States	11	210 0.7×	165 1.4×	48 0.8×	31 0.6×	42 1.0×	17	399
Deqiang Niu United States	8	279 1.0×	216 1.9×	43 0.7×	18 0.4×	36 0.8×	11	446
Hwa-Ok Kim United States	14	316 1.1×	306 2.6×	49 0.8×	15 0.3×	26 0.6×	32	520
John J. Gaudino United States	15	501 1.7×	323 2.8×	40 0.7×	36 0.7×	45 1.0×	19	642
Joseph Sisko United States	15	627 2.2×	280 2.4×	39 0.6×	61 1.2×	33 0.8×	27	849
J. Adam Willardsen United States	13	479 1.7×	270 2.3×	78 1.3×	21 0.4×	34 0.8×	22	712
Iwona Wrona United States	10	276 1.0×	112 1.0×	52 0.9×	36 0.7×	66 1.5×	13	391
Rhona J. Cox Sweden	13	630 2.2×	210 1.8×	54 0.9×	50 1.0×	146 3.4×	18	862

Countries citing papers authored by Christopher S. Poss

Since Specialization

Citations

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

Fields of papers citing papers by Christopher S. Poss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher S. Poss

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher S. Poss. A scholar is included among the top collaborators of Christopher S. Poss 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 Christopher S. Poss. Christopher S. Poss 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

Cullen, Mark R., Adina R. Lemeshow, Elisa V. Bandera, et al.. (2023). A framework for setting enrollment goals to ensure participant diversity in sponsored clinical trials in the United States. Contemporary Clinical Trials. 129. 107184–107184. 14 indexed citations

Zhang, Liying, Kjell Johnson, Jeremy T. Starr, et al.. (2017). Novel Methods for Prioritizing “Close-In” Analogs from Structure–Activity Relationship Matrices. Journal of Chemical Information and Modeling. 57(7). 1667–1676. 3 indexed citations

Gregory, Tracy F., et al.. (2009). Project-Focused Activity and Knowledge Tracker: A Unified Data Analysis, Collaboration, and Workflow Tool for Medicinal Chemistry Project Teams. Journal of Chemical Information and Modeling. 49(12). 2639–2649. 13 indexed citations

Li, Bryan, Brian M. Andresen, Matthew F. Brown, et al.. (2005). Process Development of CP-481715, a Novel CCR1 Antagonist. Organic Process Research & Development. 9(4). 466–471. 9 indexed citations

Kath, John C., William H. Brissette, Matthew F. Brown, et al.. (2004). Potent small molecule CCR1 antagonists. Bioorganic & Medicinal Chemistry Letters. 14(9). 2169–2173. 17 indexed citations

Gladue, Ronald P., Laurie Tylaska, William H. Brissette, et al.. (2003). CP-481,715, a Potent and Selective CCR1 Antagonist with Potential Therapeutic Implications for Inflammatory Diseases. Journal of Biological Chemistry. 278(42). 40473–40480. 59 indexed citations

Poss, Christopher S. & Stuart L. Schreiber. (1994). Two-directional chain synthesis and terminus differentiation. Accounts of Chemical Research. 27(1). 9–17. 240 indexed citations

Poss, Christopher S., Scott D. Rychnovsky, & Stuart L. Schreiber. (1993). Two-directional chain synthesis: an application to the synthesis of (+)-mycoticin A. Journal of the American Chemical Society. 115(8). 3360–3361. 58 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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