Michael B. Feldman

3.8k total citations
85 papers, 1.9k citations indexed

About

Michael B. Feldman is a scholar working on Immunology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Michael B. Feldman has authored 85 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 17 papers in Artificial Intelligence and 15 papers in Information Systems. Recurrent topics in Michael B. Feldman's work include Immunotherapy and Immune Responses (14 papers), Software Engineering Research (13 papers) and Advanced Software Engineering Methodologies (8 papers). Michael B. Feldman is often cited by papers focused on Immunotherapy and Immune Responses (14 papers), Software Engineering Research (13 papers) and Advanced Software Engineering Methodologies (8 papers). Michael B. Feldman collaborates with scholars based in United States, Israel and Brazil. Michael B. Feldman's co-authors include Scott C. Blanchard, Lea Eisenbach, Russ B. Altman, Leyi Wang, J.H.D. Cate, Arto Pulk, Rebecca R. Conry, Jeffrey L. Katz, Daniel S. Terry and Timothy Fraser and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael B. Feldman

79 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael B. Feldman United States 21 782 417 252 227 162 85 1.9k
Wolfgang Ziegler Germany 27 2.4k 3.0× 420 1.0× 203 0.8× 322 1.4× 91 0.6× 93 4.4k
K. Venkatesan India 16 1.0k 1.3× 77 0.2× 93 0.4× 114 0.5× 147 0.9× 50 1.9k
William S. Hlavacek United States 36 2.9k 3.8× 522 1.3× 402 1.6× 263 1.2× 39 0.2× 103 4.0k
James Meehan United Kingdom 17 523 0.7× 298 0.7× 76 0.3× 316 1.4× 77 0.5× 44 1.6k
Miranda Robertson United States 16 704 0.9× 175 0.4× 229 0.9× 89 0.4× 24 0.1× 66 1.3k
Gargi Dasgupta United States 26 932 1.2× 533 1.3× 88 0.3× 445 2.0× 153 0.9× 60 2.4k
Ulrich Schäfer Germany 18 260 0.3× 89 0.2× 208 0.8× 45 0.2× 59 0.4× 55 1.9k
Yoshihiro Matsumoto Japan 34 3.5k 4.5× 188 0.5× 383 1.5× 829 3.7× 96 0.6× 151 4.8k
Xiaoying Jia United States 26 1.3k 1.6× 314 0.8× 56 0.2× 349 1.5× 61 0.4× 83 2.8k
Wei Jin China 29 1.3k 1.7× 309 0.7× 321 1.3× 232 1.0× 37 0.2× 75 2.6k

Countries citing papers authored by Michael B. Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Michael B. Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael B. Feldman. 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 Michael B. Feldman. The network helps show where Michael B. Feldman may publish in the future.

Co-authorship network of co-authors of Michael B. Feldman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael B. Feldman. A scholar is included among the top collaborators of Michael B. Feldman 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 Michael B. Feldman. Michael B. Feldman 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.
Wiesner, Darin L., Richard M. Merkhofer, Carole Ober, et al.. (2020). Club Cell TRPV4 Serves as a Damage Sensor Driving Lung Allergic Inflammation. Cell Host & Microbe. 27(4). 614–628.e6. 63 indexed citations
2.
Feldman, Michael B., Michael A. Wood, Allen Lapey, & Hongmei Mou. (2019). SMAD Signaling Restricts Mucous Cell Differentiation in Human Airway Epithelium. American Journal of Respiratory Cell and Molecular Biology. 61(3). 322–331. 21 indexed citations
3.
Ward, Rebecca, et al.. (2019). Recurrent spontaneous pneumothoraces and vaping in an 18-year-old man: a case report and review of the literature. Journal of Medical Case Reports. 13(1). 283–283. 40 indexed citations
4.
Feldman, Michael B., Jatin M. Vyas, & Michael K. Mansour. (2018). It takes a village: Phagocytes play a central role in fungal immunity. Seminars in Cell and Developmental Biology. 89. 16–23. 11 indexed citations
5.
Feldman, Michael B., et al.. (2014). Proceedings of the 2014 ACM SIGAda annual conference on High integrity language technology. 2 indexed citations
6.
Wang, Leyi, Arto Pulk, Michael Wasserman, et al.. (2012). Allosteric control of the ribosome by small-molecule antibiotics. Nature Structural & Molecular Biology. 19(9). 957–963. 112 indexed citations
7.
Geggier, Peter, Richa Dave, Michael B. Feldman, et al.. (2010). Conformational Sampling of Aminoacyl-tRNA during Selection on the Bacterial Ribosome. Journal of Molecular Biology. 399(4). 576–595. 105 indexed citations
8.
Feldman, Michael B., Daniel S. Terry, Russ B. Altman, & Scott C. Blanchard. (2009). Aminoglycoside activity observed on single pre-translocation ribosome complexes. Nature Chemical Biology. 6(1). 54–62. 84 indexed citations
9.
Wines, Mary E., Lance Lee, Manpreet S. Katari, et al.. (2001). Identification of Mesoderm Development (mesd) Candidate Genes by Comparative Mapping and Genome Sequence Analysis. Genomics. 72(1). 88–98. 14 indexed citations
10.
Tirosh, Boaz, Khaled El‐Shami, Nora Vaisman, et al.. (1999). Immunogenicity of H-2Kb-low affinity, high affinity, and covalently-bound peptides in anti-tumor vaccination. Immunology Letters. 70(1). 21–28. 12 indexed citations
11.
Feldman, Michael B., et al.. (1996). Role of Tyrosine Kinases, Protein Kinase C, and Protein Kinase A in the Regulation of Interferon-α Production Induced by Herpes Simplex Virus Type 1. Journal of Interferon & Cytokine Research. 16(2). 109–118. 9 indexed citations
12.
Feldman, Michael B. & Elliot B. Koffman. (1995). Problem Solving and Program Design ADA. Addison-Wesley Longman Publishing Co., Inc. eBooks. 3 indexed citations
13.
Katz, Anne, Lester M. Shulman, Michel Revel, Michael B. Feldman, & Lea Eisenbach. (1993). Combined therapy with IL‐6 and inactivated tumor cells suppresses metastasis in mice bearing 3LL lung carcinomas. International Journal of Cancer. 53(5). 812–818. 12 indexed citations
14.
Porgador, Angel, Bernd Gänsbacher, Rajat Bannerji, et al.. (1993). Anti‐metastatic vaccination of tumor‐bearing mice with il‐2‐gene‐inserted tumor cells. International Journal of Cancer. 53(3). 471–477. 83 indexed citations
15.
Katz, Anne, et al.. (1993). Abrogation of B16 Melanoma Metastases by Long-Term Low-Dose Interleukin-6 Therapy. Journal of Immunotherapy. 13(2). 98–109. 15 indexed citations
16.
Feldman, Michael B. & Mark L. Moran. (1989). Validating a demonstration tool for graphics-assisted debugging of Ada concurrent programs. IEEE Transactions on Software Engineering. 15(3). 305–313. 7 indexed citations
17.
Packer, Samuel, et al.. (1980). Digital Infrared Fundus Reflectance. Ophthalmology. 87(6). 534–542. 1 indexed citations
18.
Feldman, Michael B.. (1976). New languages from old: The extension of programming languages by embedding, with a case study. International Conference on Software Engineering. 237–242. 5 indexed citations
19.
Feldman, Michael B., et al.. (1963). THE REACTIVATION OF THE IMMUNE RESPONSE IN IMMUNOLOGICALLY SUPPRESSED ANIMALS. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
20.
Feldman, Michael B.. (1958). THE ANTIGEN DETERMINED BY A Y-LINKED HISTOCOMPATIBILITY GENE. Transplantation. 5(1). 15–16. 9 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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