Patricia Feldman

1.3k total citations
11 papers, 531 citations indexed

About

Patricia Feldman is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Patricia Feldman has authored 11 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Patricia Feldman's work include DNA and Nucleic Acid Chemistry (3 papers), CAR-T cell therapy research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Patricia Feldman is often cited by papers focused on DNA and Nucleic Acid Chemistry (3 papers), CAR-T cell therapy research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Patricia Feldman collaborates with scholars based in United States and Canada. Patricia Feldman's co-authors include David C. Eustice, R H Neubauer, Anamaris M. Colberg‐Poley, Andrew Slee, Ian Zajac, Thomas D.Y. Chung, Jian‐Wei Liu, Ernest G. Seidman, Claude Morin and Pierre Brochu and has published in prestigious journals such as Blood, PEDIATRICS and Cancer Research.

In The Last Decade

Patricia Feldman

10 papers receiving 502 citations

Peers

Patricia Feldman

MB

ID

GENET

EPIDE

ONCOL

Joey Ting United States

Miho Watanabe Japan

Chuan Young Ng Singapore

Carolina Vizcaíno Colombia

Jacob J. Baker United States

Peng He China

Sun H. Paik United States

Daniela Pintérová Czechia

Nikos Pagratis United States

Raveendran Pottathil United States

Joey Ting United States

Patricia Feldman

249 ×0.9

MB

157 ×1.4

ID

51 ×0.5

GENET

81 ×1.0

EPIDE

27 ×0.4

ONCOL

Citations per year, relative to Patricia Feldman Patricia Feldman (= 1×) peers Joey Ting

Countries citing papers authored by Patricia Feldman

Since Specialization

Citations

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

Fields of papers citing papers by Patricia Feldman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Feldman

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

All Works

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11 of 11 papers shown

1.

Grunwald, Michael R., Jeffrey I. Zwicker, Aaron T. Gerds, et al.. (2023). A Real-World Evaluation of Risk Factors for Disease Progression in Patients with Polycythemia Vera (PV) Enrolled in REVEAL. Blood. 142(Supplement 1). 385–385. 2 indexed citations

2.

Pratta, Michael A., John F. DiPersio, Richard T. Maziarz, et al.. (2022). JAK1 Inhibition during CAR T-Cell Treatment Does Not Affect CAR T-Cell Proliferation, Persistence, or Function. Blood. 140(Supplement 1). 10350–10351. 9 indexed citations

3.

Condamine, Thomas, Sherry Owens, Patricia Feldman, et al.. (2019). Abstract CT085: Pharmacodynamic correlates in a phase I study of INCMGA00012, a PD-1 antagonistic monoclonal antibody. Clinical Trials. CT085–CT085.

4.

Condamine, Thomas, Sherry Owens, Patricia Feldman, et al.. (2019). Abstract CT085: Pharmacodynamic correlates in a phase I study of INCMGA00012, a PD-1 antagonistic monoclonal antibody. Cancer Research. 79(13_Supplement). CT085–CT085. 4 indexed citations

5.

Shin, Niu, Frédéric Baribaud, Kathy Wang, et al.. (2009). Pharmacological characterization of INCB3344, a small molecule antagonist of human CCR2. Biochemical and Biophysical Research Communications. 387(2). 251–255. 21 indexed citations

6.

Liu, Jian‐Wei, Patricia Feldman, & Thomas D.Y. Chung. (2002). Real-Time Monitoring in Vitro Transcription Using Molecular Beacons. Analytical Biochemistry. 300(1). 40–45. 21 indexed citations

7.

Feldman, Patricia, et al.. (2001). A Scintillation Proximity Assay for RNA Detection. Analytical Biochemistry. 289(2). 239–245. 14 indexed citations

8.

Eustice, David C., et al.. (1991). A sensitive method for the detection of beta-galactosidase in transfected mammalian cells.. PubMed. 11(6). 739–40, 742. 268 indexed citations

9.

Eustice, David C., Patricia Feldman, & Andrew Slee. (1988). The mechanism of action of DuP 721, a new antibacterial agent: Effects on macromolecular synthesis. Biochemical and Biophysical Research Communications. 150(3). 965–971. 50 indexed citations

10.

Eustice, David C., Patricia Feldman, Ian Zajac, & Andrew Slee. (1988). Mechanism of action of DuP 721: inhibition of an early event during initiation of protein synthesis. Antimicrobial Agents and Chemotherapy. 32(8). 1218–1222. 97 indexed citations

11.

Feldman, Patricia, Laurent Garel, Ernest G. Seidman, et al.. (1987). Primary Sclerosing Cholangitis in Children: Study of Five Cases and Review of the Literature. PEDIATRICS. 80(6). 918–923. 45 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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