Michael L. Manning

491 total citations · 1 hit paper
7 papers, 333 citations indexed

About

Michael L. Manning is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology and Immunology. According to data from OpenAlex, Michael L. Manning has authored 7 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Hematology and 3 papers in Immunology. Recurrent topics in Michael L. Manning's work include Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (2 papers) and Toxin Mechanisms and Immunotoxins (1 paper). Michael L. Manning is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (2 papers) and Toxin Mechanisms and Immunotoxins (1 paper). Michael L. Manning collaborates with scholars based in United States. Michael L. Manning's co-authors include Yuan Li Shen, Liang Li, Stacy S. Shord, Paresma Patel, Anamitro Banerjee, Gideon M. Blumenthal, Jiang Liu, Xin Gao, Christopher M. Sheth and Wentao Fu and has published in prestigious journals such as The Journal of Immunology, Clinical Cancer Research and The Prostate.

In The Last Decade

Michael L. Manning

7 papers receiving 332 citations

Hit Papers

FDA Approval Summary: (Daunorubicin and Cytarabine) Lipos... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael L. Manning United States 6 128 115 87 79 69 7 333
Aviva C. Krauss United States 9 155 1.2× 113 1.0× 89 1.0× 118 1.5× 159 2.3× 20 442
Jennifer Sun United States 9 138 1.1× 46 0.4× 59 0.7× 138 1.7× 126 1.8× 17 373
Kyriaki Tzogani Netherlands 13 148 1.2× 34 0.3× 45 0.5× 141 1.8× 91 1.3× 16 346
Diğdem Yöyen-Ermiş Türkiye 12 123 1.0× 110 1.0× 52 0.6× 118 1.5× 51 0.7× 23 417
Joseph Piscitelli United States 9 126 1.0× 95 0.8× 55 0.6× 113 1.4× 22 0.3× 19 365
Euan C. Ramsay Canada 8 350 2.7× 211 1.8× 142 1.6× 117 1.5× 68 1.0× 9 552
Ida Franiak‐Pietryga Poland 11 192 1.5× 44 0.4× 53 0.6× 135 1.7× 33 0.5× 25 424
Charlene Santos United States 11 175 1.4× 124 1.1× 110 1.3× 137 1.7× 18 0.3× 20 416
Florence Atrafi Netherlands 11 103 0.8× 115 1.0× 80 0.9× 102 1.3× 17 0.2× 18 322
M. Graham United States 4 118 0.9× 65 0.6× 30 0.3× 40 0.5× 80 1.2× 7 311

Countries citing papers authored by Michael L. Manning

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Manning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Manning

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

All Works

7 of 7 papers shown
1.
Baines, Andrea, Bindu Kanapuru, Lauren Price, et al.. (2024). FDA Approval Summary: Teclistamab–A Bispecific CD3 T-Cell Engager for Patients with Relapsed or Refractory Multiple Myeloma. Clinical Cancer Research. 30(24). 5515–5520. 7 indexed citations
2.
Manning, Michael L., et al.. (2019). An FDA analysis of clinical hold deficiencies affecting investigational new drug applications for oncology products. Regulatory Toxicology and Pharmacology. 110. 104511–104511. 5 indexed citations
3.
Krauss, Aviva C., Xin Gao, Liang Li, et al.. (2018). FDA Approval Summary: (Daunorubicin and Cytarabine) Liposome for Injection for the Treatment of Adults with High-Risk Acute Myeloid Leukemia. Clinical Cancer Research. 25(9). 2685–2690. 252 indexed citations breakdown →
4.
Saber, Haleh, Ramadevi Gudi, Michael L. Manning, Emily Wearne, & John K. Leighton. (2016). An FDA oncology analysis of immune activating products and first-in-human dose selection. Regulatory Toxicology and Pharmacology. 81. 448–456. 33 indexed citations
5.
Manning, Michael L., et al.. (2015). Bortezomib Reduces Pre-Existing Antibodies to Recombinant Immunotoxins in Mice. The Journal of Immunology. 194(4). 1695–1701. 10 indexed citations
6.
Manning, Michael L., Simon A. Williams, Christine Jelinek, Maya Kostova, & Samuel R. Denmeade. (2013). Proteolysis of Complement Factors iC3b and C5 by the Serine Protease Prostate-Specific Antigen in Prostatic Fluid and Seminal Plasma. The Journal of Immunology. 190(6). 2567–2574. 21 indexed citations
7.
Manning, Michael L., Maya Kostova, Simon A. Williams, & Samuel R. Denmeade. (2011). Trypsin‐like proteolytic contamination of commercially available psa purified from human seminal fluid. The Prostate. 72(11). 1233–1238. 5 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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