Mitchell J. Nelles

518 total citations
9 papers, 388 citations indexed

About

Mitchell J. Nelles is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Epidemiology. According to data from OpenAlex, Mitchell J. Nelles has authored 9 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Mitchell J. Nelles's work include Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (4 papers) and Hepatitis B Virus Studies (3 papers). Mitchell J. Nelles is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (4 papers) and Hepatitis B Virus Studies (3 papers). Mitchell J. Nelles collaborates with scholars based in United States. Mitchell J. Nelles's co-authors include Alfred Nisonoff, Man‐Sun Sy, Mark I. Greene, Robert K. DiNello, Stella Quan, Alan Polito, María G. Crespo‐Leiro, Cindy Christopherson, Susan Scott and Judith C. Wilber and has published in prestigious journals such as Hepatology, Advances in immunology and Advances in experimental medicine and biology.

In The Last Decade

Mitchell J. Nelles

9 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitchell J. Nelles United States 5 137 133 132 113 70 9 388
Pimpun Kitpoka Thailand 10 80 0.6× 69 0.5× 97 0.7× 42 0.4× 12 0.2× 31 345
Francisco Boix Spain 14 238 1.7× 46 0.3× 82 0.6× 180 1.6× 22 0.3× 38 413
Violet Esquenazi United States 12 226 1.6× 316 2.4× 241 1.8× 90 0.8× 6 0.1× 13 550
Alice Kok Netherlands 10 139 1.0× 120 0.9× 104 0.8× 94 0.8× 13 0.2× 11 488
Carmen Botella Spain 14 137 1.0× 42 0.3× 66 0.5× 112 1.0× 37 0.5× 29 327
Mareen Matz Germany 14 299 2.2× 41 0.3× 93 0.7× 220 1.9× 73 1.0× 22 515
Elena Allende Spain 11 41 0.3× 365 2.7× 230 1.7× 215 1.9× 23 0.3× 24 540
Giovambattista Pinzello Italy 13 28 0.2× 482 3.6× 329 2.5× 151 1.3× 21 0.3× 18 547
Alan P. Grailer United States 9 244 1.8× 25 0.2× 67 0.5× 211 1.9× 7 0.1× 16 679
H T Cook United Kingdom 10 110 0.8× 18 0.1× 92 0.7× 131 1.2× 5 0.1× 16 379

Countries citing papers authored by Mitchell J. Nelles

Since Specialization
Citations

This map shows the geographic impact of Mitchell 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 Mitchell 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 Mitchell J. Nelles more than expected).

Fields of papers citing papers by Mitchell J. Nelles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell J. Nelles

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

All Works

9 of 9 papers shown
1.
Gršković, Marica, D. Hiller, John J. Sninsky, et al.. (2016). Validation of a Clinical-Grade Assay to Measure Donor-Derived Cell-Free DNA in Solid Organ Transplant Recipients. Journal of Molecular Diagnostics. 18(6). 890–902. 165 indexed citations
2.
McHutchison, John G., Sugantha Govindarajan, Boontar Valinluck, et al.. (1992). Improved detection of hepatitis c virus antibodies in high-risk populations. Hepatology. 15(1). 19–25. 121 indexed citations
3.
Lee, Stephen, John McHutchinson, Robert K. DiNello, et al.. (1992). Improved Detection of Antibodies to Hepatitis C Virus Using a Second Generation Elisa. Advances in experimental medicine and biology. 312. 183–189. 13 indexed citations
4.
Nelles, Mitchell J., et al.. (1988). Detection of antibody to hepatitis B core antigen (anti-HBc) using a direct (antiglobulin) format and development of a confirmatory assay for anti-HBc. Journal of Virological Methods. 20(3). 219–226. 2 indexed citations
5.
Kresina, Thomas F., Mitchell J. Nelles, Alfred Nisonoff, & Alan R. Brown. (1984). Independent regulation of serologically distinct idiotypes in F1 hybrid mice. Immunogenetics. 19(5). 369–379. 1 indexed citations
6.
Greene, Mark I., Mitchell J. Nelles, Man‐Sun Sy, & Alfred Nisonoff. (1982). Regulation of Immunity to the Azobenzenearsonate Hapten. Advances in immunology. 32. 253–300. 74 indexed citations
7.
Nelles, Mitchell J. & J. Wayne Streilein. (1981). The Hamster Major Histocompatibility Complex and Alternate Mechanisms of Cell-Mediated Anti-Viral Cytotoxic Activity in the Syrian Hamster. Advances in experimental medicine and biology. 134. 143–151. 1 indexed citations
8.
Nelles, Mitchell J., et al.. (1980). Immune response to acute virus infection in the Syrian hamster. Immunogenetics. 10(1-4). 185–199. 10 indexed citations
9.
Nelles, Mitchell J., Richard L. Proia, David A. Hart, Leon Eidels, & J. Wayne Streilein. (1979). Unusual cell surface immunoglobulin on a plasma cell tumor. Molecular Immunology. 16(8). 535–540. 1 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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