Michèle Goodhardt

3.4k citations
51 papers · 2.5k indexed · h-index 26

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Immune Cell Function and Interaction 9
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 5

Michèle Goodhardt

50 papers receiving 2.4k citations

Peers

Michèle Goodhardt
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 720
  • Pharmacology 474
  • Biological Psychiatry 56
  • Physiology 574
  • Immunology 420
Replace Christoph Ullmer with:
Christoph Ullmer Switzerland
Patrizia De Sarno United States
Chi‐Tso Chiu Taiwan
Robert Siman United States
Geoffrey Murdoch United States
Fran Borovečki Croatia
Daniel M. Fass United States
Hiroyuki Higashiyama Japan
Chun‐I Sze Taiwan
Kengo Sato Japan
Michèle Goodhardt relative to Christoph Ullmer Switzerland Christoph Ullmer's profile →
Citations per field
00.5×1.5×2.4×
Christoph Ullmer · 1×
Citations per year

Countries citing papers authored by Michèle Goodhardt

Since Specialization
Citations

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

Fields of papers citing papers by Michèle Goodhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michèle Goodhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michèle Goodhardt Line = papers co-authored together Michèle Goodhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202432
3 202346
4 202221
5 20212
6 202114
7 202036
8 201765
9 201448
10 20148
11 201315
12 2011124
13 201048
14 200619
15 200187
16 200011
17 20006
18 199330
19 199342
20 198926

About Michèle Goodhardt

Michèle Goodhardt is a scholar working on Hematology, Immunology, Cellular and Molecular Neuroscience, Genetics and Cancer Research, having authored 51 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Hematopoietic Stem Cell Transplantation (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Immunotherapy and Immune Responses (5 papers), Animal Genetics and Reproduction (5 papers), Receptor Mechanisms and Signaling (5 papers), T-cell and B-cell Immunology (5 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (720 citations), Pharmacology (474 citations), Biological Psychiatry (56 citations), Physiology (574 citations) and Immunology (420 citations). Michèle Goodhardt has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include D. M. Bowen, Pamela White, Alan Davison, J. A. Spillane, L. Carrasco, C. Robin Hiley, Jacques Hanoune, François Rougeon, Shelley Allen and Christopher Smith. Their work appears in journals such as Leukemia, The Journal of Immunology, European Journal of Immunology, Nucleic Acids Research and Biochemical Society Transactions.

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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2026