D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Medicine D-index 77 Citations 22,639 328 World Ranking 10863 National Ranking 5799

Overview

What is he best known for?

The fields of study he is best known for:

  • Cancer
  • Gene
  • Internal medicine

His primary scientific interests are in Cancer research, Cancer, Pathology, Artificial intelligence and Breast cancer. The study incorporates disciplines such as Jurkat cells, DNA methylation, Transcription factor, Oncogene and Immunology in addition to Cancer research. His Cancer research is classified as research in Internal medicine.

His work carried out in the field of Pathology brings together such families of science as Neovascularization, Antigen, Lewis lung carcinoma, Cytotoxic T cell and In vivo. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Computer vision and Pattern recognition. His studies deal with areas such as Prostate and Histology as well as Prostate cancer.

His most cited work include:

  • Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer (1288 citations)
  • BRAF and RAS mutations in human lung cancer and melanoma (949 citations)
  • Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade. (429 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Pathology, Cancer research, Cancer, Internal medicine and Breast cancer. His is doing research in Immunohistochemistry and Biopsy, both of which are found in Pathology. He works mostly in the field of Cancer research, limiting it down to topics relating to Immunology and, in certain cases, Cytotoxic T cell.

His study in Prostate cancer and Prostate is done as part of Cancer. His Prostate cancer research includes themes of Magnetic resonance imaging, Artificial intelligence and Histology. The Internal medicine study combines topics in areas such as Endocrinology and Oncology.

He most often published in these fields:

  • Pathology (19.80%)
  • Cancer research (18.00%)
  • Cancer (18.40%)

What were the highlights of his more recent work (between 2015-2021)?

  • Internal medicine (15.80%)
  • Oncology (11.80%)
  • Breast cancer (14.60%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Internal medicine, Oncology, Breast cancer, Cancer research and Cancer. Michael Feldman has researched Oncology in several fields, including Stage, Biomarker, Progression-free survival and Proportional hazards model. His research investigates the link between Breast cancer and topics such as Disease that cross with problems in Primary tumor.

His studies in Cancer research integrate themes in fields like Immune checkpoint, Immune system, Immunology, Antigen and Germline. Michael Feldman works mostly in the field of Antigen, limiting it down to concerns involving T cell and, occasionally, Cytotoxic T cell. His study looks at the relationship between Cancer and fields such as Microbiome, as well as how they intersect with chemical problems.

Between 2015 and 2021, his most popular works were:

  • Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade. (429 citations)
  • Genomic and Functional Approaches to Understanding Cancer Aneuploidy (296 citations)
  • Comprehensive Molecular Characterization of Pheochromocytoma and Paraganglioma (264 citations)

In his most recent research, the most cited papers focused on:

  • Cancer
  • Gene
  • Internal medicine

The scientist’s investigation covers issues in Cancer research, Cancer, Internal medicine, Breast cancer and Artificial intelligence. His Cancer research study integrates concerns from other disciplines, such as Immune checkpoint, DNA methylation and Transcription factor, Gene, microRNA. His Cancer research incorporates themes from Microbiome, Non-coding RNA and Leukemia.

His Internal medicine study which covers Oncology that intersects with Progression-free survival, Immunotherapy and Ovarian cancer. The concepts of his Artificial intelligence study are interwoven with issues in Bioinformatics and Pattern recognition. His research in Pattern recognition intersects with topics in H&E stain and Digital pathology.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer

Christina Twyman-Saint Victor;Andrew J. Rech;Amit Maity;Ramesh Rengan;Ramesh Rengan.
Nature (2015)

1345 Citations

BRAF and RAS mutations in human lung cancer and melanoma

Marcia S. Brose;Patricia Volpe;Michael Feldman;Madhu Kumar.
Cancer Research (2002)

1329 Citations

Hilbert transform in vibration analysis

Michael Feldman.
Mechanical Systems and Signal Processing (2011)

568 Citations

Tumor endothelium FasL establishes a selective immune barrier promoting tolerance in tumors.

Gregory T. Motz;Stephen P. Santoro;Li Ping Wang;Tom Garrabrant.
Nature Medicine (2014)

525 Citations

Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade.

Joseph L. Benci;Bihui Xu;Yu Qiu;Tony J. Wu.
Cell (2016)

518 Citations

Local recurrence in head and neck cancer: relationship to radiation resistance and signal transduction.

Anjali K Gupta;W Gillies McKenna;Charles N Weber;Michael D Feldman.
Clinical Cancer Research (2002)

450 Citations

Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks

Angel Cruz-Roa;Ajay Basavanhally;Fabio González;Hannah Leah Gilmore.
Proceedings of SPIE (2014)

433 Citations

Non-linear system vibration analysis using Hilbert transform--I. Free vibration analysis method 'Freevib'

Michael Feldman.
Mechanical Systems and Signal Processing (1994)

410 Citations

Digital imaging in pathology: whole-slide imaging and beyond.

Farzad Ghaznavi;Andrew Evans;Anant Madabhushi;Michael Feldman.
Annual Review of Pathology-mechanisms of Disease (2013)

404 Citations

Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology

S. Naik;S. Doyle;S. Agner;A. Madabhushi.
international symposium on biomedical imaging (2008)

382 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Michael Feldman

Anant Madabhushi

Anant Madabhushi

Case Western Reserve University

Publications: 211

Michael Feldman

Michael Feldman

Weizmann Institute of Science

Publications: 49

Nasir M. Rajpoot

Nasir M. Rajpoot

University of Warwick

Publications: 48

Karel Pacak

Karel Pacak

National Institutes of Health

Publications: 46

George Coukos

George Coukos

University of Lausanne

Publications: 42

Joel H. Saltz

Joel H. Saltz

Stony Brook University

Publications: 41

Mortimer Poncz

Mortimer Poncz

Children's Hospital of Philadelphia

Publications: 40

Mark J. Smyth

Mark J. Smyth

QIMR Berghofer Medical Research Institute

Publications: 39

Keith T. Flaherty

Keith T. Flaherty

Harvard University

Publications: 33

Sandra Demaria

Sandra Demaria

Cornell University

Publications: 32

Silvia C. Formenti

Silvia C. Formenti

Cornell University

Publications: 31

Meenhard Herlyn

Meenhard Herlyn

The Wistar Institute

Publications: 30

Alexander L. Yarin

Alexander L. Yarin

University of Illinois at Chicago

Publications: 30

Tahsin Kurc

Tahsin Kurc

Stony Brook University

Publications: 29

Robert H. Vonderheide

Robert H. Vonderheide

University of Pennsylvania

Publications: 28

Stefano Romeo

Stefano Romeo

University of Gothenburg

Publications: 28

Trending Scientists

Lixin Colin Xu

Lixin Colin Xu

World Bank

Huan Zhang

Huan Zhang

University of California, Los Angeles

Felix Sharipov

Felix Sharipov

Federal University of Paraná

Hiroyuki Koshino

Hiroyuki Koshino

Tokyo University of Agriculture

Mark Asta

Mark Asta

University of California, Berkeley

Fabrício Ávila Rodrigues

Fabrício Ávila Rodrigues

Universidade Federal de Viçosa

Jordi Cortina

Jordi Cortina

University of Alicante

Zhigang He

Zhigang He

Boston Children's Hospital

Linas A. Bieliauskas

Linas A. Bieliauskas

University of Michigan–Ann Arbor

W. Keith Campbell

W. Keith Campbell

University of Georgia

Ian D. Cameron

Ian D. Cameron

University of Sydney

Andrew T. Hattersley

Andrew T. Hattersley

University of Exeter

Robert Elashoff

Robert Elashoff

University of California, Los Angeles

Paul Black

Paul Black

King's College London

Jacques Laskar

Jacques Laskar

Université Paris Cité

Alfred Vidal-Madjar

Alfred Vidal-Madjar

Institut d'Astrophysique de Paris

Something went wrong. Please try again later.