M J Nelles

844 total citations
22 papers, 675 citations indexed

About

M J Nelles is a scholar working on Epidemiology, Hepatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, M J Nelles has authored 22 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 9 papers in Hepatology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in M J Nelles's work include Hepatitis C virus research (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). M J Nelles is often cited by papers focused on Hepatitis C virus research (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). M J Nelles collaborates with scholars based in United States, Japan and Spain. M J Nelles's co-authors include A. Polito, J.M. Barrera, Guadalupe Ercilla, MP Busch, Robert D. Arbeit, Alfred Nisonoff, P. V. Holland, Steven Kleinman, W. Hansen and R H Rubin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

M J Nelles

21 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M J Nelles United States 12 367 360 172 106 98 22 675
M. Duhamel Belgium 6 574 1.6× 532 1.5× 59 0.3× 72 0.7× 31 0.3× 8 743
E Ben‐Porath Israel 13 574 1.6× 675 1.9× 45 0.3× 94 0.9× 48 0.5× 33 954
Yuji Hoshi Japan 14 534 1.5× 552 1.5× 58 0.3× 70 0.7× 54 0.6× 24 880
James Gallarda United States 13 236 0.6× 249 0.7× 74 0.4× 196 1.8× 65 0.7× 17 655
G. Leadbetter United Kingdom 9 356 1.0× 777 2.2× 48 0.3× 182 1.7× 102 1.0× 9 953
J Slusarczyk Poland 14 285 0.8× 444 1.2× 32 0.2× 38 0.4× 45 0.5× 71 622
Roberta A. Diotti Italy 19 228 0.6× 438 1.2× 230 1.3× 271 2.6× 198 2.0× 37 1.1k
J. Hilfenhaus Germany 20 96 0.3× 385 1.1× 64 0.4× 128 1.2× 235 2.4× 71 965
Christiane Brohm Germany 7 439 1.2× 403 1.1× 68 0.4× 110 1.0× 146 1.5× 7 674
H. Ikram United States 9 280 0.8× 371 1.0× 57 0.3× 85 0.8× 64 0.7× 16 515

Countries citing papers authored by M J Nelles

Since Specialization
Citations

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

Fields of papers citing papers by M J Nelles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M J Nelles

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

All Works

20 of 20 papers shown
1.
Nelles, M J, Joan Stein‐Streilein, David A. Hart, Richard L. Proia, & J. Wayne Streilein. (2015). Characterization of a Syrian Hamster Plasma Cell Tumor1. Progress in tumor research. 24. 414–423.
2.
Lee, Stephen R., M J Nelles, Robert K. DiNello, Stella Quan, & Alan Polito. (1996). The above letter was sent to Dr. Lee and colleagues, who offered the following reply. Transfusion. 36(5). 477–477. 1 indexed citations
3.
Lane, Michael J., et al.. (1995). Increased detection of hepatitis C virus infection in commercial plasma donors by a third‐generation screening assay. Transfusion. 35(10). 845–849. 44 indexed citations
4.
Barrera, J.M., et al.. (1995). Improved Detection of Anti‐HCV in Post‐Transfusion Hepatitis by a Third‐Generation ELISA. Vox Sanguinis. 68(1). 15–18. 145 indexed citations
5.
Busch, MP, Judith C. Wilber, Robert K. DiNello, et al.. (1994). Evaluation of indeterminate c22‐3 reactivity in volunteer blood donors. Transfusion. 34(2). 130–134. 44 indexed citations
6.
Baskin, Gordon S., Robert K. DiNello, A. Polito, et al.. (1993). Hepatitis C virus antibodies in patients with chronic liver disease: ELISA and RIBA HCV strip immunoblot assay results.. Gut. 34(2 Suppl). S61–S61. 1 indexed citations
7.
Busch, Michael P., Leslie H. Tobler, S. Quan, et al.. (1993). A pattern of 5‐1‐1 and c100‐3 only on hepatitis C virus (HCV) recombinant immunoblot assay does not reflect HCV infection in blood donors. Transfusion. 33(1). 84–88. 28 indexed citations
8.
Kleinman, Steven, et al.. (1992). Increased detection of hepatitis C virus (HCV)‐infected blood donors by a multiple‐antigen HCV enzyme immunoassay. Transfusion. 32(9). 805–813. 133 indexed citations
9.
Polito, A., Robert K. DiNello, Quan Shen, et al.. (1992). New-generation RIBA hepatitis C strip immunoblot assays.. PubMed. 30. 17–33. 3 indexed citations
10.
Shen, Quan, et al.. (1992). New generation RIBA hepatitis C strip immunoblot assays.. PubMed. 50(5). 329–36. 3 indexed citations
11.
Rubin, R H, W. Hansen, Mark Nedelman, et al.. (1988). Specific and nonspecific imaging of localized Fisher immunotype 1 Pseudomonas aeruginosa infection with radiolabeled monoclonal antibody.. PubMed. 29(5). 651–6. 79 indexed citations
12.
Arbeit, Robert D. & M J Nelles. (1987). Capsular Polysaccharide Antigenemia in Rats with Experimental Endocarditis Due to Staphylococcus aureus. The Journal of Infectious Diseases. 155(2). 242–246. 18 indexed citations
13.
Hewitt, C R, et al.. (1985). Competitive idiotype--anti-idiotype immunoassay for adenosine deaminase binding protein in urine.. Clinical Chemistry. 31(11). 1833–1837. 5 indexed citations
14.
Nelles, M J, et al.. (1985). Reactivity of type-specific monoclonal antibodies with Staphylococcus aureus clinical isolates and purified capsular polysaccharide. Infection and Immunity. 49(1). 14–18. 32 indexed citations
16.
Hirano, Takashi, et al.. (1983). Presence of an intrastrain cross-reactive idiotype on A/J antibodies of the IgE class specific for the p-azophenylarsonate group.. The Journal of Immunology. 130(3). 1300–1302. 3 indexed citations
17.
Nelles, M J & Alfred Nisonoff. (1982). Heterogeneity of A/J anti-AR antibodies that express a minor cross-reactive idiotype.. The Journal of Immunology. 128(6). 2773–2778. 8 indexed citations
18.
Nelles, M J, W. Raymond Duncan, & J. Wayne Streilein. (1981). Immune response to acute virus infection in the Syrian hamster. II. Studies on the identity of virus-induced cytotoxic effector cells.. The Journal of Immunology. 126(1). 214–218. 13 indexed citations
19.
Nelles, M J, et al.. (1981). Monoclonal ant-idiotypic antibodies reactive with a highly conserved determinant on A/J serum anti-para-azophenylarsonate antibodies.. The Journal of Experimental Medicine. 154(6). 1752–1763. 28 indexed citations
20.
Nepom, Gerald T., Man‐Sun Sy, Muneo Takaoki, et al.. (1981). Suppressor factor from a T cell hybrid inhibits delayed-type hypersensitivity responses to azobenzenearsonate.. Proceedings of the National Academy of Sciences. 78(10). 6441–6445. 21 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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