W M Mitchell

1.2k total citations
8 papers, 858 citations indexed

About

W M Mitchell is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, W M Mitchell has authored 8 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Virology, 5 papers in Infectious Diseases and 5 papers in Immunology. Recurrent topics in W M Mitchell's work include HIV Research and Treatment (7 papers), HIV/AIDS drug development and treatment (4 papers) and T-cell and Retrovirus Studies (3 papers). W M Mitchell is often cited by papers focused on HIV Research and Treatment (7 papers), HIV/AIDS drug development and treatment (4 papers) and T-cell and Retrovirus Studies (3 papers). W M Mitchell collaborates with scholars based in United States and Germany. W M Mitchell's co-authors include William E. Robinson, D. C. Montefiori, Yasuhiko Masuho, T. Kawamura, E. Hersh, Douglas F. Lake, Mara L. Cordeiro, Qi Jia, S A Chow and Manfred G. Reinecke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Virology.

In The Last Decade

W M Mitchell

8 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W M Mitchell United States 8 560 341 311 221 195 8 858
Anita Y. M. Howe United States 20 312 0.6× 542 1.6× 145 0.5× 654 3.0× 178 0.9× 29 1.3k
Jun Luo China 17 161 0.3× 209 0.6× 135 0.4× 127 0.6× 177 0.9× 69 669
Yanqin Ren United States 13 177 0.3× 198 0.6× 258 0.8× 221 1.0× 154 0.8× 28 601
L. J. N. Ross United States 22 221 0.4× 182 0.5× 176 0.6× 890 4.0× 236 1.2× 43 1.3k
So‐Yon Lim United States 17 393 0.7× 450 1.3× 335 1.1× 266 1.2× 111 0.6× 28 938
Walter S. Ceglowski United States 15 139 0.2× 66 0.2× 447 1.4× 167 0.8× 149 0.8× 58 744
Dong P. Han United States 10 141 0.3× 385 1.1× 126 0.4× 94 0.4× 142 0.7× 10 611
Shuiyun Lan United States 12 100 0.2× 572 1.7× 103 0.3× 264 1.2× 206 1.1× 24 934
Maria A. Papathanasopoulos South Africa 21 678 1.2× 542 1.6× 193 0.6× 108 0.5× 206 1.1× 56 968

Countries citing papers authored by W M Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by W M Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W M Mitchell

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

All Works

8 of 8 papers shown
1.
Robinson, William E., Mara L. Cordeiro, Qi Jia, et al.. (1996). Dicaffeoylquinic acid inhibitors of human immunodeficiency virus integrase: inhibition of the core catalytic domain of human immunodeficiency virus integrase.. Molecular Pharmacology. 50(4). 846–855. 137 indexed citations
2.
Montefiori, David C., et al.. (1990). Antibody-dependent enhancement of simian immunodeficiency virus (SIV) infection in vitro by plasma from SIV-infected rhesus macaques. Journal of Virology. 64(1). 113–119. 62 indexed citations
3.
Robinson, William E., T. Kawamura, Douglas F. Lake, et al.. (1990). Antibodies to the primary immunodominant domain of human immunodeficiency virus type 1 (HIV-1) glycoprotein gp41 enhance HIV-1 infection in vitro. Journal of Virology. 64(11). 5301–5305. 86 indexed citations
4.
Robinson, William E., T. Kawamura, Miroslaw K. Górny, et al.. (1990). Human monoclonal antibodies to the human immunodeficiency virus type 1 (HIV-1) transmembrane glycoprotein gp41 enhance HIV-1 infection in vitro.. Proceedings of the National Academy of Sciences. 87(8). 3185–3189. 96 indexed citations
5.
Robinson, William E., D. C. Montefiori, W M Mitchell, et al.. (1989). Antibody-dependent enhancement of human immunodeficiency virus type 1 (HIV-1) infection in vitro by serum from HIV-1-infected and passively immunized chimpanzees.. Proceedings of the National Academy of Sciences. 86(12). 4710–4714. 98 indexed citations
6.
Montefiori, David C., Robert W. Sobol, Nancy L. Reichenbach, et al.. (1989). Phosphorothioate and cordycepin analogues of 2',5'-oligoadenylate: inhibition of human immunodeficiency virus type 1 reverse transcriptase and infection in vitro.. Proceedings of the National Academy of Sciences. 86(18). 7191–7194. 52 indexed citations
7.
Robinson, William E., D. C. Montefiori, & W M Mitchell. (1988). ANTIBODY-DEPENDENT ENHANCEMENT OF HUMAN IMMUNODEFICIENCY VIRUS TYPE 1 INFECTION. The Lancet. 331(8589). 790–794. 293 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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